diff --git a/Cs_HMI/AGVLogic/AGVNavigationCore/Controls/UnifiedAGVCanvas.Events.cs b/Cs_HMI/AGVLogic/AGVNavigationCore/Controls/UnifiedAGVCanvas.Events.cs
index 3962036..a52514a 100644
--- a/Cs_HMI/AGVLogic/AGVNavigationCore/Controls/UnifiedAGVCanvas.Events.cs
+++ b/Cs_HMI/AGVLogic/AGVNavigationCore/Controls/UnifiedAGVCanvas.Events.cs
@@ -83,6 +83,75 @@ namespace AGVNavigationCore.Controls
             // UI 정보 그리기 (변환 없이)
             if (_showGrid)
                 DrawUIInfo(g);
+
+            // 동기화 화면 그리기 (변환 없이, 최상위)
+            if (_canvasMode == CanvasMode.Sync)
+            {
+                DrawSyncScreen(g);
+            }
+        }
+
+        private void DrawSyncScreen(Graphics g)
+        {
+            // 반투명 검은색 배경
+            using (var brush = new SolidBrush(Color.FromArgb(200, 0, 0, 0)))
+            {
+                g.FillRectangle(brush, this.ClientRectangle);
+            }
+
+            // 중앙에 메시지 표시
+            var center = new Point(Width / 2, Height / 2);
+
+            // 메시지 폰트
+            using (var fontTitle = new Font("Malgun Gothic", 24, FontStyle.Bold))
+            using (var fontDetail = new Font("Malgun Gothic", 14))
+            using (var brushText = new SolidBrush(Color.White))
+            {
+                // 메인 메시지
+                var sizeTitle = g.MeasureString(_syncMessage, fontTitle);
+                g.DrawString(_syncMessage, fontTitle, brushText,
+                    center.X - sizeTitle.Width / 2,
+                    center.Y - sizeTitle.Height / 2 - 60);
+
+                // 진행률 바 배경
+                int barWidth = 500;
+                int barHeight = 30;
+                int barX = center.X - barWidth / 2;
+                int barY = center.Y + 10;
+
+                using (var brushBarBg = new SolidBrush(Color.FromArgb(64, 64, 64)))
+                {
+                    g.FillRectangle(brushBarBg, barX, barY, barWidth, barHeight);
+                }
+                g.DrawRectangle(Pens.Gray, barX, barY, barWidth, barHeight);
+
+                // 진행률 바 채우기
+                if (_syncProgress > 0)
+                {
+                    using (var brushProgress = new SolidBrush(Color.LimeGreen))
+                    {
+                        int fillWidth = (int)((barWidth - 4) * _syncProgress);
+                        if (fillWidth > 0)
+                            g.FillRectangle(brushProgress, barX + 2, barY + 2, fillWidth, barHeight - 4);
+                    }
+                }
+
+                // 진행률 텍스트
+                string progressText = $"{(_syncProgress * 100):F0}%";
+                var sizeProgress = g.MeasureString(progressText, fontDetail);
+                g.DrawString(progressText, fontDetail, brushText,
+                    center.X - sizeProgress.Width / 2,
+                    barY + 5);
+
+                // 상세 메시지
+                if (!string.IsNullOrEmpty(_syncDetail))
+                {
+                    var sizeDetail = g.MeasureString(_syncDetail, fontDetail);
+                    g.DrawString(_syncDetail, fontDetail, brushText,
+                        center.X - sizeDetail.Width / 2,
+                        barY + barHeight + 20);
+                }
+            }
         }
 
         private void DrawGrid(Graphics g)
diff --git a/Cs_HMI/AGVLogic/AGVNavigationCore/Controls/UnifiedAGVCanvas.cs b/Cs_HMI/AGVLogic/AGVNavigationCore/Controls/UnifiedAGVCanvas.cs
index 2acbb86..adf7d1e 100644
--- a/Cs_HMI/AGVLogic/AGVNavigationCore/Controls/UnifiedAGVCanvas.cs
+++ b/Cs_HMI/AGVLogic/AGVNavigationCore/Controls/UnifiedAGVCanvas.cs
@@ -35,7 +35,8 @@ namespace AGVNavigationCore.Controls
         /// </summary>
         public enum CanvasMode
         {
-            Edit        // 편집 가능 (맵 에디터)
+            Edit,       // 편집 가능 (맵 에디터)
+            Sync        // 동기화 모드 (장비 설정 동기화)
         }
 
         /// <summary>
@@ -116,6 +117,11 @@ namespace AGVNavigationCore.Controls
         // RFID 중복 검사
         private HashSet<string> _duplicateRfidNodes = new HashSet<string>();
 
+        // 동기화 모드 관련
+        private string _syncMessage = "동기화 중...";
+        private float _syncProgress = 0.0f;
+        private string _syncDetail = "";
+
         // 브러쉬 및 펜
         private Brush _normalNodeBrush;
         private Brush _rotationNodeBrush;
@@ -546,6 +552,40 @@ namespace AGVNavigationCore.Controls
             }
         }
 
+        /// <summary>
+        /// 동기화 상태 설정
+        /// </summary>
+        /// <param name="message">메인 메시지</param>
+        /// <param name="progress">진행률 (0.0 ~ 1.0)</param>
+        /// <param name="detail">상세 메시지</param>
+        public void SetSyncStatus(string message, float progress, string detail = "")
+        {
+            _syncMessage = message;
+            _syncProgress = Math.Max(0.0f, Math.Min(1.0f, progress));
+            _syncDetail = detail;
+
+            if (_canvasMode != CanvasMode.Sync)
+            {
+                _canvasMode = CanvasMode.Sync;
+                UpdateModeUI();
+            }
+
+            Invalidate();
+        }
+
+        /// <summary>
+        /// 동기화 모드 종료
+        /// </summary>
+        public void ExitSyncMode()
+        {
+            if (_canvasMode == CanvasMode.Sync)
+            {
+                _canvasMode = CanvasMode.Edit; // 기본 모드로 복귀 (또는 이전 모드)
+                UpdateModeUI();
+                Invalidate();
+            }
+        }
+
         #endregion
 
         #region Cleanup
diff --git a/Cs_HMI/Project/StateMachine/Step/_SM_RUN_SYNC.cs b/Cs_HMI/Project/StateMachine/Step/_SM_RUN_SYNC.cs
index 109c00d..9aca868 100644
--- a/Cs_HMI/Project/StateMachine/Step/_SM_RUN_SYNC.cs
+++ b/Cs_HMI/Project/StateMachine/Step/_SM_RUN_SYNC.cs
@@ -107,6 +107,13 @@ namespace Project
                     var item = synlist.ElementAt(synidx);
                     UpdateProgressStatus(stepTime.TotalSeconds, 5, $"SYNC :{item.Key}");
                     PUB.AGV.AGVCommand(item.Key, item.Value);
+
+                    // 캔버스에 동기화 상태 표시
+                    if (PUB._mapCanvas != null)
+                    {
+                        float progress = (float)synidx / synlist.Count;
+                        PUB._mapCanvas.SetSyncStatus("장비 설정 동기화 중...", progress, $"항목: {item.Key} ({synidx + 1}/{synlist.Count})");
+                    }
                 }
                 LastCommandTime = DateTime.Now;
                 PUB.sm.UpdateRunStepSeq();
@@ -143,6 +150,11 @@ namespace Project
             {
                 PUB.AddEEDB($"SYNC완료({PUB.Result.TargetPos})");
                 UpdateProgressStatus(stepTime.TotalSeconds, 5, "SYNC : 완료");
+                
+                // 동기화 완료 시 캔버스 모드 복귀
+                if (PUB._mapCanvas != null)
+                    PUB._mapCanvas.SetSyncStatus("동기화 완료!", 1.0f, "잠시 후 메인 화면으로 이동합니다.");
+                
                 LastCommandTime = DateTime.Now;
                 PUB.sm.UpdateRunStepSeq();
                 return false;
diff --git a/Cs_HMI/Project/StateMachine/_Loop.cs b/Cs_HMI/Project/StateMachine/_Loop.cs
index c1b4b3a..6a8c45c 100644
--- a/Cs_HMI/Project/StateMachine/_Loop.cs
+++ b/Cs_HMI/Project/StateMachine/_Loop.cs
@@ -156,6 +156,10 @@ namespace Project
 
                         // 장치 관리 태스크 시작 (IDLE 진입 시 한 번만)
                         StartDeviceManagementTask();
+
+                        // 동기화 모드 종료 (혹시 남아있을 경우)
+                        if (PUB._mapCanvas != null)
+                            PUB._mapCanvas.ExitSyncMode();
                     }
 
                     //자동소거기능
diff --git a/Cs_HMI/SubProject/SuperTonic/ExampleONNX.cs b/Cs_HMI/SubProject/SuperTonic/ExampleONNX.cs
new file mode 100644
index 0000000..234a51d
--- /dev/null
+++ b/Cs_HMI/SubProject/SuperTonic/ExampleONNX.cs
@@ -0,0 +1,135 @@
+using System;
+using System.Collections.Generic;
+using System.IO;
+using System.Linq;
+
+namespace Supertonic
+{
+    class Program
+    {
+        class Args
+        {
+            public bool UseGpu { get; set; } = false;
+            public string OnnxDir { get; set; } = "assets/onnx";
+            public int TotalStep { get; set; } = 5;
+            public float Speed { get; set; } = 1.05f;
+            public int NTest { get; set; } = 4;
+            public List<string> VoiceStyle { get; set; } = new List<string> { "assets/voice_styles/M1.json" };
+            public List<string> Text { get; set; } = new List<string> 
+            { 
+                "This morning, I took a walk in the park, and the sound of the birds and the breeze was so pleasant that I stopped for a long time just to listen." 
+            };
+            public string SaveDir { get; set; } = "results";
+            public bool Batch { get; set; } = false;
+        }
+
+        static Args ParseArgs(string[] args)
+        {
+            var result = new Args();
+            
+            for (int i = 0; i < args.Length; i++)
+            {
+                switch (args[i])
+                {
+                    case "--use-gpu":
+                        result.UseGpu = true;
+                        break;
+                    case "--batch":
+                        result.Batch = true;
+                        break;
+                    case "--onnx-dir" when i + 1 < args.Length:
+                        result.OnnxDir = args[++i];
+                        break;
+                    case "--total-step" when i + 1 < args.Length:
+                        result.TotalStep = int.Parse(args[++i]);
+                        break;
+                    case "--speed" when i + 1 < args.Length:
+                        result.Speed = float.Parse(args[++i]);
+                        break;
+                    case "--n-test" when i + 1 < args.Length:
+                        result.NTest = int.Parse(args[++i]);
+                        break;
+                    case "--voice-style" when i + 1 < args.Length:
+                        result.VoiceStyle = args[++i].Split(',').ToList();
+                        break;
+                    case "--text" when i + 1 < args.Length:
+                        result.Text = args[++i].Split('|').ToList();
+                        break;
+                    case "--save-dir" when i + 1 < args.Length:
+                        result.SaveDir = args[++i];
+                        break;
+                }
+            }
+            
+            return result;
+        }
+
+        static void Main(string[] args)
+        {
+            Console.WriteLine("=== TTS Inference with ONNX Runtime (C#) ===\n");
+
+            // --- 1. Parse arguments --- //
+            var parsedArgs = ParseArgs(args);
+            int totalStep = parsedArgs.TotalStep;
+            float speed = parsedArgs.Speed;
+            int nTest = parsedArgs.NTest;
+            string saveDir = parsedArgs.SaveDir;
+            var voiceStylePaths = parsedArgs.VoiceStyle;
+            var textList = parsedArgs.Text;
+            bool batch = parsedArgs.Batch;
+
+            if (voiceStylePaths.Count != textList.Count)
+            {
+                throw new ArgumentException(
+                    $"Number of voice styles ({voiceStylePaths.Count}) must match number of texts ({textList.Count})");
+            }
+            int bsz = voiceStylePaths.Count;
+
+            // --- 2. Load Text to Speech --- //
+            var textToSpeech = Helper.LoadTextToSpeech(parsedArgs.OnnxDir, parsedArgs.UseGpu);
+            Console.WriteLine();
+
+            // --- 3. Load Voice Style --- //
+            var style = Helper.LoadVoiceStyle(voiceStylePaths, verbose: true);
+
+            // --- 4. Synthesize speech --- //
+            for (int n = 0; n < nTest; n++)
+            {
+                Console.WriteLine($"\n[{n + 1}/{nTest}] Starting synthesis...");
+                
+                var (wav, duration) = Helper.Timer("Generating speech from text", () =>
+                {
+                    if (batch)
+                    {
+                        return textToSpeech.Batch(textList, style, totalStep, speed);
+                    }
+                    else
+                    {
+                        return textToSpeech.Call(textList[0], style, totalStep, speed);
+                    }
+                });
+
+                if (!Directory.Exists(saveDir))
+                {
+                    Directory.CreateDirectory(saveDir);
+                }
+
+                for (int b = 0; b < bsz; b++)
+                {
+                    string fname = $"{Helper.SanitizeFilename(textList[b], 20)}_{n + 1}.wav";
+                    
+                    int wavLen = (int)(textToSpeech.SampleRate * duration[b]);
+                    var wavOut = new float[wavLen];
+                    Array.Copy(wav, b * wav.Length / bsz, wavOut, 0, Math.Min(wavLen, wav.Length / bsz));
+
+                    string outputPath = Path.Combine(saveDir, fname);
+                    Helper.WriteWavFile(outputPath, wavOut, textToSpeech.SampleRate);
+                    Console.WriteLine($"Saved: {outputPath}");
+                }
+            }
+
+            Console.WriteLine("\n=== Synthesis completed successfully! ===");
+        }
+    }
+}
+
diff --git a/Cs_HMI/SubProject/SuperTonic/Helper.cs b/Cs_HMI/SubProject/SuperTonic/Helper.cs
new file mode 100644
index 0000000..cd4ccff
--- /dev/null
+++ b/Cs_HMI/SubProject/SuperTonic/Helper.cs
@@ -0,0 +1,881 @@
+using System;
+using System.Collections.Generic;
+using System.IO;
+using System.Linq;
+using System.Text;
+using System.Text.Json;
+using System.Text.RegularExpressions;
+using Microsoft.ML.OnnxRuntime;
+using Microsoft.ML.OnnxRuntime.Tensors;
+
+namespace Supertonic
+{
+    // ============================================================================
+    // Configuration classes
+    // ============================================================================
+
+    public class Config
+    {
+        public AEConfig AE { get; set; } = null;
+        public TTLConfig TTL { get; set; } = null;
+
+        public class AEConfig
+        {
+            public int SampleRate { get; set; }
+            public int BaseChunkSize { get; set; }
+        }
+
+        public class TTLConfig
+        {
+            public int ChunkCompressFactor { get; set; }
+            public int LatentDim { get; set; }
+        }
+    }
+
+    // ============================================================================
+    // Style class
+    // ============================================================================
+
+    public class Style
+    {
+        public float[] Ttl { get; set; }
+        public long[] TtlShape { get; set; }
+        public float[] Dp { get; set; }
+        public long[] DpShape { get; set; }
+
+        public Style(float[] ttl, long[] ttlShape, float[] dp, long[] dpShape)
+        {
+            Ttl = ttl;
+            TtlShape = ttlShape;
+            Dp = dp;
+            DpShape = dpShape;
+        }
+    }
+
+    // ============================================================================
+    // Unicode text processor
+    // ============================================================================
+
+    public class UnicodeProcessor
+    {
+        private readonly Dictionary<int, long> _indexer;
+
+        public UnicodeProcessor(string unicodeIndexerPath)
+        {
+            var json = File.ReadAllText(unicodeIndexerPath);
+            var indexerArray = JsonSerializer.Deserialize<long[]>(json) ?? throw new Exception("Failed to load indexer");
+            _indexer = new Dictionary<int, long>();
+            for (int i = 0; i < indexerArray.Length; i++)
+            {
+                _indexer[i] = indexerArray[i];
+            }
+        }
+
+        private static string RemoveEmojis(string text)
+        {
+            var result = new StringBuilder();
+            for (int i = 0; i < text.Length; i++)
+            {
+                int codePoint;
+                if (char.IsHighSurrogate(text[i]) && i + 1 < text.Length && char.IsLowSurrogate(text[i + 1]))
+                {
+                    // Get the full code point from surrogate pair
+                    codePoint = char.ConvertToUtf32(text[i], text[i + 1]);
+                    i++; // Skip the low surrogate
+                }
+                else
+                {
+                    codePoint = text[i];
+                }
+
+                // Check if code point is in emoji ranges
+                bool isEmoji = (codePoint >= 0x1F600 && codePoint <= 0x1F64F) ||
+                               (codePoint >= 0x1F300 && codePoint <= 0x1F5FF) ||
+                               (codePoint >= 0x1F680 && codePoint <= 0x1F6FF) ||
+                               (codePoint >= 0x1F700 && codePoint <= 0x1F77F) ||
+                               (codePoint >= 0x1F780 && codePoint <= 0x1F7FF) ||
+                               (codePoint >= 0x1F800 && codePoint <= 0x1F8FF) ||
+                               (codePoint >= 0x1F900 && codePoint <= 0x1F9FF) ||
+                               (codePoint >= 0x1FA00 && codePoint <= 0x1FA6F) ||
+                               (codePoint >= 0x1FA70 && codePoint <= 0x1FAFF) ||
+                               (codePoint >= 0x2600 && codePoint <= 0x26FF) ||
+                               (codePoint >= 0x2700 && codePoint <= 0x27BF) ||
+                               (codePoint >= 0x1F1E6 && codePoint <= 0x1F1FF);
+
+                if (!isEmoji)
+                {
+                    if (codePoint > 0xFFFF)
+                    {
+                        // Add back as surrogate pair
+                        result.Append(char.ConvertFromUtf32(codePoint));
+                    }
+                    else
+                    {
+                        result.Append((char)codePoint);
+                    }
+                }
+            }
+            return result.ToString();
+        }
+
+        private string PreprocessText(string text)
+        {
+            // TODO: Need advanced normalizer for better performance
+            text = text.Normalize(NormalizationForm.FormKD);
+
+            // FIXME: this should be fixed for non-English languages
+
+            // Remove emojis (wide Unicode range)
+            // C# doesn't support \u{...} syntax in regex, so we use character filtering instead
+            text = RemoveEmojis(text);
+
+            // Replace various dashes and symbols
+            var replacements = new Dictionary<string, string>
+            {
+                {"–", "-"},      // en dash
+                {"‑", "-"},      // non-breaking hyphen
+                {"—", "-"},      // em dash
+                {"¯", " "},      // macron
+                {"_", " "},      // underscore
+                {"\u201C", "\""},     // left double quote
+                {"\u201D", "\""},     // right double quote
+                {"\u2018", "'"},      // left single quote
+                {"\u2019", "'"},      // right single quote
+                {"´", "'"},      // acute accent
+                {"`", "'"},      // grave accent
+                {"[", " "},      // left bracket
+                {"]", " "},      // right bracket
+                {"|", " "},      // vertical bar
+                {"/", " "},      // slash
+                {"#", " "},      // hash
+                {"→", " "},      // right arrow
+                {"←", " "},      // left arrow
+            };
+
+            foreach (var kvp in replacements)
+            {
+                text = text.Replace(kvp.Key, kvp.Value);
+            }
+
+            // Remove combining diacritics // FIXME: this should be fixed for non-English languages
+            text = Regex.Replace(text, @"[\u0302\u0303\u0304\u0305\u0306\u0307\u0308\u030A\u030B\u030C\u0327\u0328\u0329\u032A\u032B\u032C\u032D\u032E\u032F]", "");
+
+            // Remove special symbols
+            text = Regex.Replace(text, @"[♥☆♡©\\]", "");
+
+            // Replace known expressions
+            var exprReplacements = new Dictionary<string, string>
+            {
+                {"@", " at "},
+                {"e.g.,", "for example, "},
+                {"i.e.,", "that is, "},
+            };
+
+            foreach (var kvp in exprReplacements)
+            {
+                text = text.Replace(kvp.Key, kvp.Value);
+            }
+
+            // Fix spacing around punctuation
+            text = Regex.Replace(text, @" ,", ",");
+            text = Regex.Replace(text, @" \.", ".");
+            text = Regex.Replace(text, @" !", "!");
+            text = Regex.Replace(text, @" \?", "?");
+            text = Regex.Replace(text, @" ;", ";");
+            text = Regex.Replace(text, @" :", ":");
+            text = Regex.Replace(text, @" '", "'");
+
+            // Remove duplicate quotes
+            while (text.Contains("\"\""))
+            {
+                text = text.Replace("\"\"", "\"");
+            }
+            while (text.Contains("''"))
+            {
+                text = text.Replace("''", "'");
+            }
+            while (text.Contains("``"))
+            {
+                text = text.Replace("``", "`");
+            }
+
+            // Remove extra spaces
+            text = Regex.Replace(text, @"\s+", " ").Trim();
+
+            // If text doesn't end with punctuation, quotes, or closing brackets, add a period
+            if (!Regex.IsMatch(text, @"[.!?;:,'\u0022\u201C\u201D\u2018\u2019)\]}…。」』】〉》›»]$"))
+            {
+                text += ".";
+            }
+
+            return text;
+        }
+
+        private int[] TextToUnicodeValues(string text)
+        {
+            return text.Select(c => (int)c).ToArray();
+        }
+
+        private float[][][] GetTextMask(long[] textIdsLengths)
+        {
+            return Helper.LengthToMask(textIdsLengths);
+        }
+
+        public (long[][] textIds, float[][][] textMask) Call(List<string> textList)
+        {
+            var processedTexts = textList.Select(t => PreprocessText(t)).ToList();
+            var textIdsLengths = processedTexts.Select(t => (long)t.Length).ToArray();
+            long maxLen = textIdsLengths.Max();
+
+            var textIds = new long[textList.Count][];
+            for (int i = 0; i < processedTexts.Count; i++)
+            {
+                textIds[i] = new long[maxLen];
+                var unicodeVals = TextToUnicodeValues(processedTexts[i]);
+                for (int j = 0; j < unicodeVals.Length; j++)
+                {
+                    if (_indexer.TryGetValue(unicodeVals[j], out long val))
+                    {
+                        textIds[i][j] = val;
+                    }
+                }
+            }
+
+            var textMask = GetTextMask(textIdsLengths);
+            return (textIds, textMask);
+        }
+    }
+
+    // ============================================================================
+    // TextToSpeech class
+    // ============================================================================
+
+    public class TextToSpeech
+    {
+        private readonly Config _cfgs;
+        private readonly UnicodeProcessor _textProcessor;
+        private readonly InferenceSession _dpOrt;
+        private readonly InferenceSession _textEncOrt;
+        private readonly InferenceSession _vectorEstOrt;
+        private readonly InferenceSession _vocoderOrt;
+        public readonly int SampleRate;
+        private readonly int _baseChunkSize;
+        private readonly int _chunkCompressFactor;
+        private readonly int _ldim;
+
+        public TextToSpeech(
+            Config cfgs,
+            UnicodeProcessor textProcessor,
+            InferenceSession dpOrt,
+            InferenceSession textEncOrt,
+            InferenceSession vectorEstOrt,
+            InferenceSession vocoderOrt)
+        {
+            _cfgs = cfgs;
+            _textProcessor = textProcessor;
+            _dpOrt = dpOrt;
+            _textEncOrt = textEncOrt;
+            _vectorEstOrt = vectorEstOrt;
+            _vocoderOrt = vocoderOrt;
+            SampleRate = cfgs.AE.SampleRate;
+            _baseChunkSize = cfgs.AE.BaseChunkSize;
+            _chunkCompressFactor = cfgs.TTL.ChunkCompressFactor;
+            _ldim = cfgs.TTL.LatentDim;
+        }
+
+        private (float[][][] noisyLatent, float[][][] latentMask) SampleNoisyLatent(float[] duration)
+        {
+            int bsz = duration.Length;
+            float wavLenMax = duration.Max() * SampleRate;
+            var wavLengths = duration.Select(d => (long)(d * SampleRate)).ToArray();
+            int chunkSize = _baseChunkSize * _chunkCompressFactor;
+            int latentLen = (int)((wavLenMax + chunkSize - 1) / chunkSize);
+            int latentDim = _ldim * _chunkCompressFactor;
+
+            // Generate random noise
+            var random = new Random();
+            var noisyLatent = new float[bsz][][];
+            for (int b = 0; b < bsz; b++)
+            {
+                noisyLatent[b] = new float[latentDim][];
+                for (int d = 0; d < latentDim; d++)
+                {
+                    noisyLatent[b][d] = new float[latentLen];
+                    for (int t = 0; t < latentLen; t++)
+                    {
+                        // Box-Muller transform for normal distribution
+                        double u1 = 1.0 - random.NextDouble();
+                        double u2 = 1.0 - random.NextDouble();
+                        noisyLatent[b][d][t] = (float)(Math.Sqrt(-2.0 * Math.Log(u1)) * Math.Cos(2.0 * Math.PI * u2));
+                    }
+                }
+            }
+
+            var latentMask = Helper.GetLatentMask(wavLengths, _baseChunkSize, _chunkCompressFactor);
+
+            // Apply mask
+            for (int b = 0; b < bsz; b++)
+            {
+                for (int d = 0; d < latentDim; d++)
+                {
+                    for (int t = 0; t < latentLen; t++)
+                    {
+                        noisyLatent[b][d][t] *= latentMask[b][0][t];
+                    }
+                }
+            }
+
+            return (noisyLatent, latentMask);
+        }
+
+        private (float[] wav, float[] duration) _Infer(List<string> textList, Style style, int totalStep, float speed = 1.05f)
+        {
+            int bsz = textList.Count;
+            if (bsz != style.TtlShape[0])
+            {
+                throw new ArgumentException("Number of texts must match number of style vectors");
+            }
+
+            // Process text
+            var (textIds, textMask) = _textProcessor.Call(textList);
+            var textIdsShape = new long[] { bsz, textIds[0].Length };
+            var textMaskShape = new long[] { bsz, 1, textMask[0][0].Length };
+
+            var textIdsTensor = Helper.IntArrayToTensor(textIds, textIdsShape);
+            var textMaskTensor = Helper.ArrayToTensor(textMask, textMaskShape);
+
+            var styleTtlTensor = new DenseTensor<float>(style.Ttl, style.TtlShape.Select(x => (int)x).ToArray());
+            var styleDpTensor = new DenseTensor<float>(style.Dp, style.DpShape.Select(x => (int)x).ToArray());
+
+            // Run duration predictor
+            var dpInputs = new List<NamedOnnxValue>
+            {
+                NamedOnnxValue.CreateFromTensor("text_ids", textIdsTensor),
+                NamedOnnxValue.CreateFromTensor("style_dp", styleDpTensor),
+                NamedOnnxValue.CreateFromTensor("text_mask", textMaskTensor)
+            };
+            using (var dpOutputs = _dpOrt.Run(dpInputs))
+            {
+                var durOnnx = dpOutputs.First(o => o.Name == "duration").AsTensor<float>().ToArray();
+                // Apply speed factor to duration
+                for (int i = 0; i < durOnnx.Length; i++)
+                {
+                    durOnnx[i] /= speed;
+                }
+
+                // Run text encoder
+                var textEncInputs = new List<NamedOnnxValue>
+            {
+                NamedOnnxValue.CreateFromTensor("text_ids", textIdsTensor),
+                NamedOnnxValue.CreateFromTensor("style_ttl", styleTtlTensor),
+                NamedOnnxValue.CreateFromTensor("text_mask", textMaskTensor)
+            };
+                using (var textEncOutputs = _textEncOrt.Run(textEncInputs))
+                {
+                    var textEmbTensor = textEncOutputs.First(o => o.Name == "text_emb").AsTensor<float>();
+                    // Sample noisy latent
+                    var (xt, latentMask) = SampleNoisyLatent(durOnnx);
+                    var latentShape = new long[] { bsz, xt[0].Length, xt[0][0].Length };
+                    var latentMaskShape = new long[] { bsz, 1, latentMask[0][0].Length };
+
+                    var totalStepArray = Enumerable.Repeat((float)totalStep, bsz).ToArray();
+
+                    // Iterative denoising
+                    for (int step = 0; step < totalStep; step++)
+                    {
+                        var currentStepArray = Enumerable.Repeat((float)step, bsz).ToArray();
+
+                        var vectorEstInputs = new List<NamedOnnxValue>
+                {
+                    NamedOnnxValue.CreateFromTensor("noisy_latent", Helper.ArrayToTensor(xt, latentShape)),
+                    NamedOnnxValue.CreateFromTensor("text_emb", textEmbTensor),
+                    NamedOnnxValue.CreateFromTensor("style_ttl", styleTtlTensor),
+                    NamedOnnxValue.CreateFromTensor("text_mask", textMaskTensor),
+                    NamedOnnxValue.CreateFromTensor("latent_mask", Helper.ArrayToTensor(latentMask, latentMaskShape)),
+                    NamedOnnxValue.CreateFromTensor("total_step", new DenseTensor<float>(totalStepArray, new int[] { bsz })),
+                    NamedOnnxValue.CreateFromTensor("current_step", new DenseTensor<float>(currentStepArray, new int[] { bsz }))
+                };
+
+                        using (var vectorEstOutputs = _vectorEstOrt.Run(vectorEstInputs))
+                        {
+                            var denoisedLatent = vectorEstOutputs.First(o => o.Name == "denoised_latent").AsTensor<float>();
+                            // Update xt
+                            int idx = 0;
+                            for (int b = 0; b < bsz; b++)
+                            {
+                                for (int d = 0; d < xt[b].Length; d++)
+                                {
+                                    for (int t = 0; t < xt[b][d].Length; t++)
+                                    {
+                                        xt[b][d][t] = denoisedLatent.GetValue(idx++);
+                                    }
+                                }
+                            }
+                        }
+
+
+                    }
+
+                    // Run vocoder
+                    var vocoderInputs = new List<NamedOnnxValue>
+            {
+                NamedOnnxValue.CreateFromTensor("latent", Helper.ArrayToTensor(xt, latentShape))
+            };
+                    using (var vocoderOutputs = _vocoderOrt.Run(vocoderInputs))
+                    {
+                        var wavTensor = vocoderOutputs.First(o => o.Name == "wav_tts").AsTensor<float>();
+                        return (wavTensor.ToArray(), durOnnx);
+                    }
+                }
+
+
+                
+            }
+
+
+
+
+
+        }
+
+        public (float[] wav, float[] duration) Call(string text, Style style, int totalStep, float speed = 1.05f, float silenceDuration = 0.3f)
+        {
+            if (style.TtlShape[0] != 1)
+            {
+                throw new ArgumentException("Single speaker text to speech only supports single style");
+            }
+
+            var textList = Helper.ChunkText(text);
+            var wavCat = new List<float>();
+            float durCat = 0.0f;
+
+            foreach (var chunk in textList)
+            {
+                var (wav, duration) = _Infer(new List<string> { chunk }, style, totalStep, speed);
+
+                if (wavCat.Count == 0)
+                {
+                    wavCat.AddRange(wav);
+                    durCat = duration[0];
+                }
+                else
+                {
+                    int silenceLen = (int)(silenceDuration * SampleRate);
+                    var silence = new float[silenceLen];
+                    wavCat.AddRange(silence);
+                    wavCat.AddRange(wav);
+                    durCat += duration[0] + silenceDuration;
+                }
+            }
+
+            return (wavCat.ToArray(), new float[] { durCat });
+        }
+
+        public (float[] wav, float[] duration) Batch(List<string> textList, Style style, int totalStep, float speed = 1.05f)
+        {
+            return _Infer(textList, style, totalStep, speed);
+        }
+    }
+
+    // ============================================================================
+    // Helper class with utility functions
+    // ============================================================================
+
+    public static class Helper
+    {
+        // ============================================================================
+        // Utility functions
+        // ============================================================================
+
+        public static float[][][] LengthToMask(long[] lengths, long maxLen = -1)
+        {
+            if (maxLen == -1)
+            {
+                maxLen = lengths.Max();
+            }
+
+            var mask = new float[lengths.Length][][];
+            for (int i = 0; i < lengths.Length; i++)
+            {
+                mask[i] = new float[1][];
+                mask[i][0] = new float[maxLen];
+                for (int j = 0; j < maxLen; j++)
+                {
+                    mask[i][0][j] = j < lengths[i] ? 1.0f : 0.0f;
+                }
+            }
+            return mask;
+        }
+
+        public static float[][][] GetLatentMask(long[] wavLengths, int baseChunkSize, int chunkCompressFactor)
+        {
+            int latentSize = baseChunkSize * chunkCompressFactor;
+            var latentLengths = wavLengths.Select(len => (len + latentSize - 1) / latentSize).ToArray();
+            return LengthToMask(latentLengths);
+        }
+
+        // ============================================================================
+        // ONNX model loading
+        // ============================================================================
+
+        public static InferenceSession LoadOnnx(string onnxPath, SessionOptions opts)
+        {
+            return new InferenceSession(onnxPath, opts);
+        }
+
+        public static (InferenceSession dp, InferenceSession textEnc, InferenceSession vectorEst, InferenceSession vocoder)
+            LoadOnnxAll(string onnxDir, SessionOptions opts)
+        {
+            var dpPath = Path.Combine(onnxDir, "duration_predictor.onnx");
+            var textEncPath = Path.Combine(onnxDir, "text_encoder.onnx");
+            var vectorEstPath = Path.Combine(onnxDir, "vector_estimator.onnx");
+            var vocoderPath = Path.Combine(onnxDir, "vocoder.onnx");
+
+            return (
+                LoadOnnx(dpPath, opts),
+                LoadOnnx(textEncPath, opts),
+                LoadOnnx(vectorEstPath, opts),
+                LoadOnnx(vocoderPath, opts)
+            );
+        }
+
+        // ============================================================================
+        // Configuration loading
+        // ============================================================================
+
+        public static Config LoadCfgs(string onnxDir)
+        {
+            var cfgPath = Path.Combine(onnxDir, "tts.json");
+            var json = File.ReadAllText(cfgPath);
+
+            using (var doc = JsonDocument.Parse(json))
+            {
+                var root = doc.RootElement;
+                return new Config
+                {
+                    AE = new Config.AEConfig
+                    {
+                        SampleRate = root.GetProperty("ae").GetProperty("sample_rate").GetInt32(),
+                        BaseChunkSize = root.GetProperty("ae").GetProperty("base_chunk_size").GetInt32()
+                    },
+                    TTL = new Config.TTLConfig
+                    {
+                        ChunkCompressFactor = root.GetProperty("ttl").GetProperty("chunk_compress_factor").GetInt32(),
+                        LatentDim = root.GetProperty("ttl").GetProperty("latent_dim").GetInt32()
+                    }
+                };
+            }
+
+
+
+        }
+
+        public static UnicodeProcessor LoadTextProcessor(string onnxDir)
+        {
+            var unicodeIndexerPath = Path.Combine(onnxDir, "unicode_indexer.json");
+            return new UnicodeProcessor(unicodeIndexerPath);
+        }
+
+        // ============================================================================
+        // Voice style loading
+        // ============================================================================
+
+        public static Style LoadVoiceStyle(List<string> voiceStylePaths, bool verbose = false)
+        {
+            int bsz = voiceStylePaths.Count;
+
+            // Read first file to get dimensions
+            var firstJson = File.ReadAllText(voiceStylePaths[0]);
+            using (var firstDoc = JsonDocument.Parse(firstJson))
+            {
+                var firstRoot = firstDoc.RootElement;
+
+                var ttlDims = ParseInt64Array(firstRoot.GetProperty("style_ttl").GetProperty("dims"));
+                var dpDims = ParseInt64Array(firstRoot.GetProperty("style_dp").GetProperty("dims"));
+
+                long ttlDim1 = ttlDims[1];
+                long ttlDim2 = ttlDims[2];
+                long dpDim1 = dpDims[1];
+                long dpDim2 = dpDims[2];
+
+                // Pre-allocate arrays with full batch size
+                int ttlSize = (int)(bsz * ttlDim1 * ttlDim2);
+                int dpSize = (int)(bsz * dpDim1 * dpDim2);
+                var ttlFlat = new float[ttlSize];
+                var dpFlat = new float[dpSize];
+
+                // Fill in the data
+                for (int i = 0; i < bsz; i++)
+                {
+                    var json = File.ReadAllText(voiceStylePaths[i]);
+                    using (var doc = JsonDocument.Parse(json))
+                    {
+                        var root = doc.RootElement;
+                        // Flatten data
+                        var ttlData3D = ParseFloat3DArray(root.GetProperty("style_ttl").GetProperty("data"));
+                        var ttlDataFlat = new List<float>();
+                        foreach (var batch in ttlData3D)
+                        {
+                            foreach (var row in batch)
+                            {
+                                ttlDataFlat.AddRange(row);
+                            }
+                        }
+
+                        var dpData3D = ParseFloat3DArray(root.GetProperty("style_dp").GetProperty("data"));
+                        var dpDataFlat = new List<float>();
+                        foreach (var batch in dpData3D)
+                        {
+                            foreach (var row in batch)
+                            {
+                                dpDataFlat.AddRange(row);
+                            }
+                        }
+
+                        // Copy to pre-allocated array
+                        int ttlOffset = (int)(i * ttlDim1 * ttlDim2);
+                        ttlDataFlat.CopyTo(ttlFlat, ttlOffset);
+
+                        int dpOffset = (int)(i * dpDim1 * dpDim2);
+                        dpDataFlat.CopyTo(dpFlat, dpOffset);
+                    }
+
+
+
+                }
+
+                var ttlShape = new long[] { bsz, ttlDim1, ttlDim2 };
+                var dpShape = new long[] { bsz, dpDim1, dpDim2 };
+
+                if (verbose)
+                {
+                    Console.WriteLine($"Loaded {bsz} voice styles");
+                }
+
+                return new Style(ttlFlat, ttlShape, dpFlat, dpShape);
+            }
+
+
+            
+        }
+
+        private static float[][][] ParseFloat3DArray(JsonElement element)
+        {
+            var result = new List<float[][]>();
+            foreach (var batch in element.EnumerateArray())
+            {
+                var batch2D = new List<float[]>();
+                foreach (var row in batch.EnumerateArray())
+                {
+                    var rowData = new List<float>();
+                    foreach (var val in row.EnumerateArray())
+                    {
+                        rowData.Add(val.GetSingle());
+                    }
+                    batch2D.Add(rowData.ToArray());
+                }
+                result.Add(batch2D.ToArray());
+            }
+            return result.ToArray();
+        }
+
+        private static long[] ParseInt64Array(JsonElement element)
+        {
+            var result = new List<long>();
+            foreach (var val in element.EnumerateArray())
+            {
+                result.Add(val.GetInt64());
+            }
+            return result.ToArray();
+        }
+
+        // ============================================================================
+        // TextToSpeech loading
+        // ============================================================================
+
+        public static TextToSpeech LoadTextToSpeech(string onnxDir, bool useGpu = false)
+        {
+            var opts = new SessionOptions();
+            if (useGpu)
+            {
+                throw new NotImplementedException("GPU mode is not supported yet");
+            }
+            else
+            {
+                Console.WriteLine("Using CPU for inference");
+            }
+
+            var cfgs = LoadCfgs(onnxDir);
+            var (dpOrt, textEncOrt, vectorEstOrt, vocoderOrt) = LoadOnnxAll(onnxDir, opts);
+            var textProcessor = LoadTextProcessor(onnxDir);
+
+            return new TextToSpeech(cfgs, textProcessor, dpOrt, textEncOrt, vectorEstOrt, vocoderOrt);
+        }
+
+        // ============================================================================
+        // WAV file writing
+        // ============================================================================
+
+        public static void WriteWavFile(string filename, float[] audioData, int sampleRate)
+        {
+            using (var writer = new BinaryWriter(File.Open(filename, FileMode.Create)))
+            {
+                int numChannels = 1;
+                int bitsPerSample = 16;
+                int byteRate = sampleRate * numChannels * bitsPerSample / 8;
+                short blockAlign = (short)(numChannels * bitsPerSample / 8);
+                int dataSize = audioData.Length * bitsPerSample / 8;
+
+                // RIFF header
+                writer.Write(Encoding.ASCII.GetBytes("RIFF"));
+                writer.Write(36 + dataSize);
+                writer.Write(Encoding.ASCII.GetBytes("WAVE"));
+
+                // fmt chunk
+                writer.Write(Encoding.ASCII.GetBytes("fmt "));
+                writer.Write(16); // fmt chunk size
+                writer.Write((short)1); // audio format (PCM)
+                writer.Write((short)numChannels);
+                writer.Write(sampleRate);
+                writer.Write(byteRate);
+                writer.Write(blockAlign);
+                writer.Write((short)bitsPerSample);
+
+                // data chunk
+                writer.Write(Encoding.ASCII.GetBytes("data"));
+                writer.Write(dataSize);
+
+                // Write audio data
+                foreach (var sample in audioData)
+                {
+                    float clamped = Math.Max(-1.0f, Math.Min(1.0f, sample));
+                    short intSample = (short)(clamped * 32767);
+                    writer.Write(intSample);
+                }
+            }
+
+
+        }
+
+        // ============================================================================
+        // Tensor conversion utilities
+        // ============================================================================
+
+        public static DenseTensor<float> ArrayToTensor(float[][][] array, long[] dims)
+        {
+            var flat = new List<float>();
+            foreach (var batch in array)
+            {
+                foreach (var row in batch)
+                {
+                    flat.AddRange(row);
+                }
+            }
+            return new DenseTensor<float>(flat.ToArray(), dims.Select(x => (int)x).ToArray());
+        }
+
+        public static DenseTensor<long> IntArrayToTensor(long[][] array, long[] dims)
+        {
+            var flat = new List<long>();
+            foreach (var row in array)
+            {
+                flat.AddRange(row);
+            }
+            return new DenseTensor<long>(flat.ToArray(), dims.Select(x => (int)x).ToArray());
+        }
+
+        // ============================================================================
+        // Timer utility
+        // ============================================================================
+
+        public static T Timer<T>(string name, Func<T> func)
+        {
+            var start = DateTime.Now;
+            Console.WriteLine($"{name}...");
+            var result = func();
+            var elapsed = (DateTime.Now - start).TotalSeconds;
+            Console.WriteLine($"  -> {name} completed in {elapsed:F2} sec");
+            return result;
+        }
+
+        public static string SanitizeFilename(string text, int maxLen)
+        {
+            var result = new StringBuilder();
+            int count = 0;
+            foreach (char c in text)
+            {
+                if (count >= maxLen) break;
+                if (char.IsLetterOrDigit(c))
+                {
+                    result.Append(c);
+                }
+                else
+                {
+                    result.Append('_');
+                }
+                count++;
+            }
+            return result.ToString();
+        }
+
+        // ============================================================================
+        // Chunk text
+        // ============================================================================
+
+        public static List<string> ChunkText(string text, int maxLen = 300)
+        {
+            var chunks = new List<string>();
+
+            // Split by paragraph (two or more newlines)
+            var paragraphRegex = new Regex(@"\n\s*\n+");
+            var paragraphs = paragraphRegex.Split(text.Trim())
+                .Select(p => p.Trim())
+                .Where(p => !string.IsNullOrEmpty(p))
+                .ToList();
+
+            // Split by sentence boundaries, excluding abbreviations
+            var sentenceRegex = new Regex(@"(?<!Mr\.|Mrs\.|Ms\.|Dr\.|Prof\.|Sr\.|Jr\.|Ph\.D\.|etc\.|e\.g\.|i\.e\.|vs\.|Inc\.|Ltd\.|Co\.|Corp\.|St\.|Ave\.|Blvd\.)(?<!\b[A-Z]\.)(?<=[.!?])\s+");
+
+            foreach (var paragraph in paragraphs)
+            {
+                var sentences = sentenceRegex.Split(paragraph);
+                string currentChunk = "";
+
+                foreach (var sentence in sentences)
+                {
+                    if (string.IsNullOrEmpty(sentence)) continue;
+
+                    if (currentChunk.Length + sentence.Length + 1 <= maxLen)
+                    {
+                        if (!string.IsNullOrEmpty(currentChunk))
+                        {
+                            currentChunk += " ";
+                        }
+                        currentChunk += sentence;
+                    }
+                    else
+                    {
+                        if (!string.IsNullOrEmpty(currentChunk))
+                        {
+                            chunks.Add(currentChunk.Trim());
+                        }
+                        currentChunk = sentence;
+                    }
+                }
+
+                if (!string.IsNullOrEmpty(currentChunk))
+                {
+                    chunks.Add(currentChunk.Trim());
+                }
+            }
+
+            // If no chunks were created, return the original text
+            if (chunks.Count == 0)
+            {
+                chunks.Add(text.Trim());
+            }
+
+            return chunks;
+        }
+    }
+}
diff --git a/Cs_HMI/SubProject/SuperTonic/Properties/AssemblyInfo.cs b/Cs_HMI/SubProject/SuperTonic/Properties/AssemblyInfo.cs
new file mode 100644
index 0000000..3cf4989
--- /dev/null
+++ b/Cs_HMI/SubProject/SuperTonic/Properties/AssemblyInfo.cs
@@ -0,0 +1,36 @@
+using System.Reflection;
+using System.Runtime.CompilerServices;
+using System.Runtime.InteropServices;
+
+// 어셈블리에 대한 일반 정보는 다음 특성 집합을 통해 
+// 제어됩니다. 어셈블리와 관련된 정보를 수정하려면
+// 이러한 특성 값을 변경하세요.
+[assembly: AssemblyTitle("ClassLibrary1")]
+[assembly: AssemblyDescription("")]
+[assembly: AssemblyConfiguration("")]
+[assembly: AssemblyCompany("")]
+[assembly: AssemblyProduct("ClassLibrary1")]
+[assembly: AssemblyCopyright("Copyright ©  2025")]
+[assembly: AssemblyTrademark("")]
+[assembly: AssemblyCulture("")]
+
+// ComVisible을 false로 설정하면 이 어셈블리의 형식이 COM 구성 요소에 
+// 표시되지 않습니다. COM에서 이 어셈블리의 형식에 액세스하려면
+// 해당 형식에 대해 ComVisible 특성을 true로 설정하세요.
+[assembly: ComVisible(false)]
+
+// 이 프로젝트가 COM에 노출되는 경우 다음 GUID는 typelib의 ID를 나타냅니다.
+[assembly: Guid("19675e19-eb91-493e-88c3-32b3c094b749")]
+
+// 어셈블리의 버전 정보는 다음 네 가지 값으로 구성됩니다.
+//
+//      주 버전
+//      부 버전 
+//      빌드 번호
+//      수정 버전
+//
+// 모든 값을 지정하거나 아래와 같이 '*'를 사용하여 빌드 번호 및 수정 번호를
+// 기본값으로 할 수 있습니다.
+// [assembly: AssemblyVersion("1.0.*")]
+[assembly: AssemblyVersion("1.0.0.0")]
+[assembly: AssemblyFileVersion("1.0.0.0")]
diff --git a/Cs_HMI/SubProject/SuperTonic/Supertonic.Netfx48.csproj b/Cs_HMI/SubProject/SuperTonic/Supertonic.Netfx48.csproj
new file mode 100644
index 0000000..ec63d6d
--- /dev/null
+++ b/Cs_HMI/SubProject/SuperTonic/Supertonic.Netfx48.csproj
@@ -0,0 +1,126 @@
+<?xml version="1.0" encoding="utf-8"?>
+<Project ToolsVersion="15.0" xmlns="http://schemas.microsoft.com/developer/msbuild/2003">
+  <Import Project="..\csharp\packages\Microsoft.ML.OnnxRuntime.1.23.2\build\netstandard2.0\Microsoft.ML.OnnxRuntime.props" Condition="Exists('..\csharp\packages\Microsoft.ML.OnnxRuntime.1.23.2\build\netstandard2.0\Microsoft.ML.OnnxRuntime.props')" />
+  <Import Project="$(MSBuildExtensionsPath)\$(MSBuildToolsVersion)\Microsoft.Common.props" Condition="Exists('$(MSBuildExtensionsPath)\$(MSBuildToolsVersion)\Microsoft.Common.props')" />
+  <PropertyGroup>
+    <Configuration Condition=" '$(Configuration)' == '' ">Debug</Configuration>
+    <Platform Condition=" '$(Platform)' == '' ">AnyCPU</Platform>
+    <ProjectGuid>{19675E19-EB91-493E-88C3-32B3C094B749}</ProjectGuid>
+    <OutputType>Exe</OutputType>
+    <AppDesignerFolder>Properties</AppDesignerFolder>
+    <RootNamespace>Supertonic</RootNamespace>
+    <AssemblyName>Supertonic.Net48</AssemblyName>
+    <TargetFrameworkVersion>v4.8</TargetFrameworkVersion>
+    <FileAlignment>512</FileAlignment>
+    <Deterministic>true</Deterministic>
+    <NuGetPackageImportStamp>
+    </NuGetPackageImportStamp>
+  </PropertyGroup>
+  <PropertyGroup Condition=" '$(Configuration)|$(Platform)' == 'Debug|AnyCPU' ">
+    <DebugSymbols>true</DebugSymbols>
+    <DebugType>full</DebugType>
+    <Optimize>false</Optimize>
+    <OutputPath>bin\Debug\</OutputPath>
+    <DefineConstants>DEBUG;TRACE</DefineConstants>
+    <ErrorReport>prompt</ErrorReport>
+    <WarningLevel>4</WarningLevel>
+  </PropertyGroup>
+  <PropertyGroup Condition=" '$(Configuration)|$(Platform)' == 'Release|AnyCPU' ">
+    <DebugType>pdbonly</DebugType>
+    <Optimize>true</Optimize>
+    <OutputPath>bin\Release\</OutputPath>
+    <DefineConstants>TRACE</DefineConstants>
+    <ErrorReport>prompt</ErrorReport>
+    <WarningLevel>4</WarningLevel>
+  </PropertyGroup>
+  <PropertyGroup>
+    <StartupObject>Supertonic.Program</StartupObject>
+  </PropertyGroup>
+  <PropertyGroup Condition="'$(Configuration)|$(Platform)' == 'Debug|Win32'">
+    <PlatformTarget>x64</PlatformTarget>
+    <OutputPath>bin\Debug\</OutputPath>
+  </PropertyGroup>
+  <PropertyGroup Condition="'$(Configuration)|$(Platform)' == 'Debug|x64'">
+    <DebugSymbols>true</DebugSymbols>
+    <OutputPath>bin\x64\Debug\</OutputPath>
+    <DefineConstants>DEBUG;TRACE</DefineConstants>
+    <DebugType>full</DebugType>
+    <PlatformTarget>x64</PlatformTarget>
+    <ErrorReport>prompt</ErrorReport>
+    <CodeAnalysisRuleSet>MinimumRecommendedRules.ruleset</CodeAnalysisRuleSet>
+    <Prefer32Bit>true</Prefer32Bit>
+  </PropertyGroup>
+  <PropertyGroup Condition="'$(Configuration)|$(Platform)' == 'Release|x64'">
+    <OutputPath>bin\x64\Release\</OutputPath>
+    <DefineConstants>TRACE</DefineConstants>
+    <Optimize>true</Optimize>
+    <DebugType>pdbonly</DebugType>
+    <PlatformTarget>x64</PlatformTarget>
+    <ErrorReport>prompt</ErrorReport>
+    <CodeAnalysisRuleSet>MinimumRecommendedRules.ruleset</CodeAnalysisRuleSet>
+    <Prefer32Bit>true</Prefer32Bit>
+  </PropertyGroup>
+  <ItemGroup>
+    <Reference Include="Microsoft.Bcl.AsyncInterfaces, Version=10.0.0.1, Culture=neutral, PublicKeyToken=cc7b13ffcd2ddd51, processorArchitecture=MSIL">
+      <HintPath>..\csharp\packages\Microsoft.Bcl.AsyncInterfaces.10.0.1\lib\net462\Microsoft.Bcl.AsyncInterfaces.dll</HintPath>
+    </Reference>
+    <Reference Include="Microsoft.ML.OnnxRuntime, Version=1.23.2.0, Culture=neutral, PublicKeyToken=f27f157f0a5b7bb6, processorArchitecture=MSIL">
+      <HintPath>..\csharp\packages\Microsoft.ML.OnnxRuntime.Managed.1.23.2\lib\netstandard2.0\Microsoft.ML.OnnxRuntime.dll</HintPath>
+    </Reference>
+    <Reference Include="System" />
+    <Reference Include="System.Buffers, Version=4.0.5.0, Culture=neutral, PublicKeyToken=cc7b13ffcd2ddd51, processorArchitecture=MSIL">
+      <HintPath>..\csharp\packages\System.Buffers.4.6.1\lib\net462\System.Buffers.dll</HintPath>
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+    <Reference Include="System.Core" />
+    <Reference Include="System.IO.Pipelines, Version=10.0.0.1, Culture=neutral, PublicKeyToken=cc7b13ffcd2ddd51, processorArchitecture=MSIL">
+      <HintPath>..\csharp\packages\System.IO.Pipelines.10.0.1\lib\net462\System.IO.Pipelines.dll</HintPath>
+    </Reference>
+    <Reference Include="System.Memory, Version=4.0.5.0, Culture=neutral, PublicKeyToken=cc7b13ffcd2ddd51, processorArchitecture=MSIL">
+      <HintPath>..\csharp\packages\System.Memory.4.6.3\lib\net462\System.Memory.dll</HintPath>
+    </Reference>
+    <Reference Include="System.Numerics" />
+    <Reference Include="System.Numerics.Vectors, Version=4.1.6.0, Culture=neutral, PublicKeyToken=b03f5f7f11d50a3a, processorArchitecture=MSIL">
+      <HintPath>..\csharp\packages\System.Numerics.Vectors.4.6.1\lib\net462\System.Numerics.Vectors.dll</HintPath>
+    </Reference>
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+      <HintPath>..\csharp\packages\System.Runtime.CompilerServices.Unsafe.6.1.2\lib\net462\System.Runtime.CompilerServices.Unsafe.dll</HintPath>
+    </Reference>
+    <Reference Include="System.Text.Encodings.Web, Version=10.0.0.1, Culture=neutral, PublicKeyToken=cc7b13ffcd2ddd51, processorArchitecture=MSIL">
+      <HintPath>..\csharp\packages\System.Text.Encodings.Web.10.0.1\lib\net462\System.Text.Encodings.Web.dll</HintPath>
+    </Reference>
+    <Reference Include="System.Text.Json, Version=10.0.0.1, Culture=neutral, PublicKeyToken=cc7b13ffcd2ddd51, processorArchitecture=MSIL">
+      <HintPath>..\csharp\packages\System.Text.Json.10.0.1\lib\net462\System.Text.Json.dll</HintPath>
+    </Reference>
+    <Reference Include="System.Threading.Tasks.Extensions, Version=4.2.4.0, Culture=neutral, PublicKeyToken=cc7b13ffcd2ddd51, processorArchitecture=MSIL">
+      <HintPath>..\csharp\packages\System.Threading.Tasks.Extensions.4.6.3\lib\net462\System.Threading.Tasks.Extensions.dll</HintPath>
+    </Reference>
+    <Reference Include="System.Xml.Linq" />
+    <Reference Include="System.Data.DataSetExtensions" />
+    <Reference Include="Microsoft.CSharp" />
+    <Reference Include="System.Data" />
+    <Reference Include="System.Net.Http" />
+    <Reference Include="System.Xml" />
+  </ItemGroup>
+  <ItemGroup>
+    <Compile Include="ExampleONNX.cs" />
+    <Compile Include="Helper.cs" />
+    <Compile Include="Properties\AssemblyInfo.cs" />
+  </ItemGroup>
+  <ItemGroup>
+    <None Include="app.config" />
+    <None Include="packages.config" />
+  </ItemGroup>
+  <Import Project="$(MSBuildToolsPath)\Microsoft.CSharp.targets" />
+  <Import Project="..\csharp\packages\Microsoft.ML.OnnxRuntime.Managed.1.23.2\build\netstandard2.0\Microsoft.ML.OnnxRuntime.Managed.targets" Condition="Exists('..\csharp\packages\Microsoft.ML.OnnxRuntime.Managed.1.23.2\build\netstandard2.0\Microsoft.ML.OnnxRuntime.Managed.targets')" />
+  <Target Name="EnsureNuGetPackageBuildImports" BeforeTargets="PrepareForBuild">
+    <PropertyGroup>
+      <ErrorText>이 프로젝트는 이 컴퓨터에 없는 NuGet 패키지를 참조합니다. 해당 패키지를 다운로드하려면 NuGet 패키지 복원을 사용하십시오. 자세한 내용은 http://go.microsoft.com/fwlink/?LinkID=322105를 참조하십시오. 누락된 파일은 {0}입니다.</ErrorText>
+    </PropertyGroup>
+    <Error Condition="!Exists('..\csharp\packages\Microsoft.ML.OnnxRuntime.Managed.1.23.2\build\netstandard2.0\Microsoft.ML.OnnxRuntime.Managed.targets')" Text="$([System.String]::Format('$(ErrorText)', '..\csharp\packages\Microsoft.ML.OnnxRuntime.Managed.1.23.2\build\netstandard2.0\Microsoft.ML.OnnxRuntime.Managed.targets'))" />
+    <Error Condition="!Exists('..\csharp\packages\Microsoft.ML.OnnxRuntime.1.23.2\build\netstandard2.0\Microsoft.ML.OnnxRuntime.props')" Text="$([System.String]::Format('$(ErrorText)', '..\csharp\packages\Microsoft.ML.OnnxRuntime.1.23.2\build\netstandard2.0\Microsoft.ML.OnnxRuntime.props'))" />
+    <Error Condition="!Exists('..\csharp\packages\Microsoft.ML.OnnxRuntime.1.23.2\build\netstandard2.0\Microsoft.ML.OnnxRuntime.targets')" Text="$([System.String]::Format('$(ErrorText)', '..\csharp\packages\Microsoft.ML.OnnxRuntime.1.23.2\build\netstandard2.0\Microsoft.ML.OnnxRuntime.targets'))" />
+    <Error Condition="!Exists('..\csharp\packages\System.ValueTuple.4.6.1\build\net471\System.ValueTuple.targets')" Text="$([System.String]::Format('$(ErrorText)', '..\csharp\packages\System.ValueTuple.4.6.1\build\net471\System.ValueTuple.targets'))" />
+  </Target>
+  <Import Project="..\csharp\packages\Microsoft.ML.OnnxRuntime.1.23.2\build\netstandard2.0\Microsoft.ML.OnnxRuntime.targets" Condition="Exists('..\csharp\packages\Microsoft.ML.OnnxRuntime.1.23.2\build\netstandard2.0\Microsoft.ML.OnnxRuntime.targets')" />
+  <Import Project="..\csharp\packages\System.ValueTuple.4.6.1\build\net471\System.ValueTuple.targets" Condition="Exists('..\csharp\packages\System.ValueTuple.4.6.1\build\net471\System.ValueTuple.targets')" />
+</Project>
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diff --git a/Cs_HMI/SubProject/SuperTonic/Supertonic.Netfx48.sln b/Cs_HMI/SubProject/SuperTonic/Supertonic.Netfx48.sln
new file mode 100644
index 0000000..0d1db74
--- /dev/null
+++ b/Cs_HMI/SubProject/SuperTonic/Supertonic.Netfx48.sln
@@ -0,0 +1,49 @@
+
+Microsoft Visual Studio Solution File, Format Version 12.00
+# Visual Studio Express 15 for Windows Desktop
+VisualStudioVersion = 15.0.36324.19
+MinimumVisualStudioVersion = 10.0.40219.1
+Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "Supertonic.Netfx48", "Supertonic.Netfx48.csproj", "{19675E19-EB91-493E-88C3-32B3C094B749}"
+EndProject
+Global
+	GlobalSection(SolutionConfigurationPlatforms) = preSolution
+		Debug|Any CPU = Debug|Any CPU
+		Debug|ARM = Debug|ARM
+		Debug|ARM64 = Debug|ARM64
+		Debug|x64 = Debug|x64
+		Debug|x86 = Debug|x86
+		Release|Any CPU = Release|Any CPU
+		Release|ARM = Release|ARM
+		Release|ARM64 = Release|ARM64
+		Release|x64 = Release|x64
+		Release|x86 = Release|x86
+	EndGlobalSection
+	GlobalSection(ProjectConfigurationPlatforms) = postSolution
+		{19675E19-EB91-493E-88C3-32B3C094B749}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
+		{19675E19-EB91-493E-88C3-32B3C094B749}.Debug|Any CPU.Build.0 = Debug|Any CPU
+		{19675E19-EB91-493E-88C3-32B3C094B749}.Debug|ARM.ActiveCfg = Debug|ARM
+		{19675E19-EB91-493E-88C3-32B3C094B749}.Debug|ARM.Build.0 = Debug|ARM
+		{19675E19-EB91-493E-88C3-32B3C094B749}.Debug|ARM64.ActiveCfg = Debug|ARM64
+		{19675E19-EB91-493E-88C3-32B3C094B749}.Debug|ARM64.Build.0 = Debug|ARM64
+		{19675E19-EB91-493E-88C3-32B3C094B749}.Debug|x64.ActiveCfg = Debug|x64
+		{19675E19-EB91-493E-88C3-32B3C094B749}.Debug|x64.Build.0 = Debug|x64
+		{19675E19-EB91-493E-88C3-32B3C094B749}.Debug|x86.ActiveCfg = Debug|Win32
+		{19675E19-EB91-493E-88C3-32B3C094B749}.Debug|x86.Build.0 = Debug|Win32
+		{19675E19-EB91-493E-88C3-32B3C094B749}.Release|Any CPU.ActiveCfg = Release|Any CPU
+		{19675E19-EB91-493E-88C3-32B3C094B749}.Release|Any CPU.Build.0 = Release|Any CPU
+		{19675E19-EB91-493E-88C3-32B3C094B749}.Release|ARM.ActiveCfg = Release|ARM
+		{19675E19-EB91-493E-88C3-32B3C094B749}.Release|ARM.Build.0 = Release|ARM
+		{19675E19-EB91-493E-88C3-32B3C094B749}.Release|ARM64.ActiveCfg = Release|ARM64
+		{19675E19-EB91-493E-88C3-32B3C094B749}.Release|ARM64.Build.0 = Release|ARM64
+		{19675E19-EB91-493E-88C3-32B3C094B749}.Release|x64.ActiveCfg = Release|x64
+		{19675E19-EB91-493E-88C3-32B3C094B749}.Release|x64.Build.0 = Release|x64
+		{19675E19-EB91-493E-88C3-32B3C094B749}.Release|x86.ActiveCfg = Release|Win32
+		{19675E19-EB91-493E-88C3-32B3C094B749}.Release|x86.Build.0 = Release|Win32
+	EndGlobalSection
+	GlobalSection(SolutionProperties) = preSolution
+		HideSolutionNode = FALSE
+	EndGlobalSection
+	GlobalSection(ExtensibilityGlobals) = postSolution
+		SolutionGuid = {5F2E20C5-E704-4B99-8FE9-54394113916E}
+	EndGlobalSection
+EndGlobal
diff --git a/Cs_HMI/SubProject/SuperTonic/app.config b/Cs_HMI/SubProject/SuperTonic/app.config
new file mode 100644
index 0000000..896e61a
--- /dev/null
+++ b/Cs_HMI/SubProject/SuperTonic/app.config
@@ -0,0 +1,11 @@
+<?xml version="1.0" encoding="utf-8"?>
+<configuration>
+  <runtime>
+    <assemblyBinding xmlns="urn:schemas-microsoft-com:asm.v1">
+      <dependentAssembly>
+        <assemblyIdentity name="System.Memory" publicKeyToken="cc7b13ffcd2ddd51" culture="neutral" />
+        <bindingRedirect oldVersion="0.0.0.0-4.0.5.0" newVersion="4.0.5.0" />
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+    </assemblyBinding>
+  </runtime>
+</configuration>
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diff --git a/Cs_HMI/SubProject/SuperTonic/assets/onnx/duration_predictor.onnx b/Cs_HMI/SubProject/SuperTonic/assets/onnx/duration_predictor.onnx
new file mode 100644
index 0000000..8178279
Binary files /dev/null and b/Cs_HMI/SubProject/SuperTonic/assets/onnx/duration_predictor.onnx differ
diff --git a/Cs_HMI/SubProject/SuperTonic/assets/onnx/text_encoder.onnx b/Cs_HMI/SubProject/SuperTonic/assets/onnx/text_encoder.onnx
new file mode 100644
index 0000000..1a9806c
Binary files /dev/null and b/Cs_HMI/SubProject/SuperTonic/assets/onnx/text_encoder.onnx differ
diff --git a/Cs_HMI/SubProject/SuperTonic/assets/onnx/tts.json b/Cs_HMI/SubProject/SuperTonic/assets/onnx/tts.json
new file mode 100644
index 0000000..2129ec3
--- /dev/null
+++ b/Cs_HMI/SubProject/SuperTonic/assets/onnx/tts.json
@@ -0,0 +1,316 @@
+{
+    "tts_version": "v1.5.0",
+    "split": "opensource-en",
+    "ttl_ckpt_path": "unknown.pt",
+    "dp_ckpt_path": "unknown.pt",
+    "ae_ckpt_path": "unknown.pt",
+    "ttl_train": "unknown",
+    "dp_train": "unknown",
+    "ae_train": "unknown",
+    "ttl": {
+        "latent_dim": 24,
+        "chunk_compress_factor": 6,
+        "batch_expander": {
+            "n_batch_expand": 6
+        },
+        "normalizer": {
+            "scale": 0.25
+        },
+        "text_encoder": {
+            "char_dict_path": "resources/metadata/char_dict/opensource-en/char_dict.json",
+            "text_embedder": {
+                "char_dict_path": "resources/metadata/char_dict/opensource-en/char_dict.json",
+                "char_emb_dim": 256
+            },
+            "convnext": {
+                "idim": 256,
+                "ksz": 5,
+                "intermediate_dim": 1024,
+                "num_layers": 6,
+                "dilation_lst": [
+                    1,
+                    1,
+                    1,
+                    1,
+                    1,
+                    1
+                ]
+            },
+            "attn_encoder": {
+                "hidden_channels": 256,
+                "filter_channels": 1024,
+                "n_heads": 4,
+                "n_layers": 4,
+                "p_dropout": 0.0
+            },
+            "proj_out": {
+                "idim": 256,
+                "odim": 256
+            }
+        },
+        "flow_matching": {
+            "sig_min": 0
+        },
+        "style_encoder": {
+            "proj_in": {
+                "ldim": 24,
+                "chunk_compress_factor": 6,
+                "odim": 256
+            },
+            "convnext": {
+                "idim": 256,
+                "ksz": 5,
+                "intermediate_dim": 1024,
+                "num_layers": 6,
+                "dilation_lst": [
+                    1,
+                    1,
+                    1,
+                    1,
+                    1,
+                    1
+                ]
+            },
+            "style_token_layer": {
+                "input_dim": 256,
+                "n_style": 50,
+                "style_key_dim": 256,
+                "style_value_dim": 256,
+                "prototype_dim": 256,
+                "n_units": 256,
+                "n_heads": 2
+            }
+        },
+        "speech_prompted_text_encoder": {
+            "text_dim": 256,
+            "style_dim": 256,
+            "n_units": 256,
+            "n_heads": 2
+        },
+        "uncond_masker": {
+            "prob_both_uncond": 0.04,
+            "prob_text_uncond": 0.01,
+            "std": 0.1,
+            "text_dim": 256,
+            "n_style": 50,
+            "style_key_dim": 256,
+            "style_value_dim": 256
+        },
+        "vector_field": {
+            "proj_in": {
+                "ldim": 24,
+                "chunk_compress_factor": 6,
+                "odim": 512
+            },
+            "time_encoder": {
+                "time_dim": 64,
+                "hdim": 256
+            },
+            "main_blocks": {
+                "n_blocks": 4,
+                "time_cond_layer": {
+                    "idim": 512,
+                    "time_dim": 64
+                },
+                "style_cond_layer": {
+                    "idim": 512,
+                    "style_dim": 256
+                },
+                "text_cond_layer": {
+                    "idim": 512,
+                    "text_dim": 256,
+                    "n_heads": 4,
+                    "use_residual": true,
+                    "rotary_base": 10000,
+                    "rotary_scale": 10
+                },
+                "convnext_0": {
+                    "idim": 512,
+                    "ksz": 5,
+                    "intermediate_dim": 1024,
+                    "num_layers": 4,
+                    "dilation_lst": [
+                        1,
+                        2,
+                        4,
+                        8
+                    ]
+                },
+                "convnext_1": {
+                    "idim": 512,
+                    "ksz": 5,
+                    "intermediate_dim": 1024,
+                    "num_layers": 1,
+                    "dilation_lst": [
+                        1
+                    ]
+                },
+                "convnext_2": {
+                    "idim": 512,
+                    "ksz": 5,
+                    "intermediate_dim": 1024,
+                    "num_layers": 1,
+                    "dilation_lst": [
+                        1
+                    ]
+                }
+            },
+            "last_convnext": {
+                "idim": 512,
+                "ksz": 5,
+                "intermediate_dim": 1024,
+                "num_layers": 4,
+                "dilation_lst": [
+                    1,
+                    1,
+                    1,
+                    1
+                ]
+            },
+            "proj_out": {
+                "idim": 512,
+                "chunk_compress_factor": 6,
+                "ldim": 24
+            }
+        }
+    },
+    "ae": {
+        "sample_rate": 44100,
+        "n_delay": 0,
+        "base_chunk_size": 512,
+        "chunk_compress_factor": 1,
+        "ldim": 24,
+        "encoder": {
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+                "win_length": 2048,
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+                "n_mels": 228,
+                "sample_rate": 44100,
+                "eps": 1e-05,
+                "norm_mean": 0.0,
+                "norm_std": 1.0
+            },
+            "ksz_init": 7,
+            "ksz": 7,
+            "num_layers": 10,
+            "dilation_lst": [
+                1,
+                1,
+                1,
+                1,
+                1,
+                1,
+                1,
+                1,
+                1,
+                1
+            ],
+            "intermediate_dim": 2048,
+            "idim": 1253,
+            "hdim": 512,
+            "odim": 24
+        },
+        "decoder": {
+            "ksz_init": 7,
+            "ksz": 7,
+            "num_layers": 10,
+            "dilation_lst": [
+                1,
+                2,
+                4,
+                1,
+                2,
+                4,
+                1,
+                1,
+                1,
+                1
+            ],
+            "intermediate_dim": 2048,
+            "idim": 24,
+            "hdim": 512,
+            "head": {
+                "idim": 512,
+                "hdim": 2048,
+                "odim": 512,
+                "ksz": 3
+            }
+        }
+    },
+    "dp": {
+        "latent_dim": 24,
+        "chunk_compress_factor": 6,
+        "normalizer": {
+            "scale": 1.0
+        },
+        "sentence_encoder": {
+            "char_emb_dim": 64,
+            "char_dict_path": "resources/metadata/char_dict/opensource-en/char_dict.json",
+            "text_embedder": {
+                "char_dict_path": "resources/metadata/char_dict/opensource-en/char_dict.json",
+                "char_emb_dim": 64
+            },
+            "convnext": {
+                "idim": 64,
+                "ksz": 5,
+                "intermediate_dim": 256,
+                "num_layers": 6,
+                "dilation_lst": [
+                    1,
+                    1,
+                    1,
+                    1,
+                    1,
+                    1
+                ]
+            },
+            "attn_encoder": {
+                "hidden_channels": 64,
+                "filter_channels": 256,
+                "n_heads": 2,
+                "n_layers": 2,
+                "p_dropout": 0.0
+            },
+            "proj_out": {
+                "idim": 64,
+                "odim": 64
+            }
+        },
+        "style_encoder": {
+            "proj_in": {
+                "ldim": 24,
+                "chunk_compress_factor": 6,
+                "odim": 64
+            },
+            "convnext": {
+                "idim": 64,
+                "ksz": 5,
+                "intermediate_dim": 256,
+                "num_layers": 4,
+                "dilation_lst": [
+                    1,
+                    1,
+                    1,
+                    1
+                ]
+            },
+            "style_token_layer": {
+                "input_dim": 64,
+                "n_style": 8,
+                "style_key_dim": 0,
+                "style_value_dim": 16,
+                "prototype_dim": 64,
+                "n_units": 64,
+                "n_heads": 2
+            }
+        },
+        "predictor": {
+            "sentence_dim": 64,
+            "n_style": 8,
+            "style_dim": 16,
+            "hdim": 128,
+            "n_layer": 2
+        }
+    }
+}
\ No newline at end of file
diff --git a/Cs_HMI/SubProject/SuperTonic/assets/onnx/tts.yml b/Cs_HMI/SubProject/SuperTonic/assets/onnx/tts.yml
new file mode 100644
index 0000000..d37684b
--- /dev/null
+++ b/Cs_HMI/SubProject/SuperTonic/assets/onnx/tts.yml
@@ -0,0 +1,223 @@
+tts_version: "v1.5.0"
+
+split: "opensource-en"
+
+ttl_ckpt_path: "unknown.pt"
+
+dp_ckpt_path: "unknown.pt"
+
+ae_ckpt_path: "unknown.pt"
+
+ttl_train: "unknown"
+
+dp_train: "unknown"
+
+ae_train: "unknown"
+
+ttl:
+    latent_dim: 24
+    chunk_compress_factor: 6
+    batch_expander:
+        n_batch_expand: 6
+    normalizer:
+        scale: 0.25
+    text_encoder:
+        char_dict_path: "resources/metadata/char_dict/opensource-en/char_dict.json"
+        text_embedder:
+            char_dict_path: "resources/metadata/char_dict/opensource-en/char_dict.json"
+            char_emb_dim: 256
+        convnext:
+            idim: 256
+            ksz: 5
+            intermediate_dim: 1024
+            num_layers: 6
+            dilation_lst: [1, 1, 1, 1, 1, 1]
+        attn_encoder:
+            hidden_channels: 256
+            filter_channels: 1024
+            n_heads: 4
+            n_layers: 4
+            p_dropout: 0.0
+        proj_out:
+            idim: 256
+            odim: 256
+    flow_matching:
+        sig_min: 0
+    style_encoder:
+        proj_in:
+            ldim: 24
+            chunk_compress_factor: 6
+            odim: 256
+        convnext:
+            idim: 256
+            ksz: 5
+            intermediate_dim: 1024
+            num_layers: 6
+            dilation_lst: [1, 1, 1, 1, 1, 1]
+        style_token_layer:
+            input_dim: 256
+            n_style: 50
+            style_key_dim: 256
+            style_value_dim: 256
+            prototype_dim: 256
+            n_units: 256
+            n_heads: 2
+    speech_prompted_text_encoder:
+        text_dim: 256
+        style_dim: 256
+        n_units: 256
+        n_heads: 2
+    uncond_masker:
+        prob_both_uncond: 0.04
+        prob_text_uncond: 0.01
+        std: 0.1
+        text_dim: 256
+        n_style: 50
+        style_key_dim: 256
+        style_value_dim: 256
+    vector_field:
+        proj_in:
+            ldim: 24
+            chunk_compress_factor: 6
+            odim: 512
+        time_encoder:
+            time_dim: 64
+            hdim: 256
+        main_blocks:
+            n_blocks: 4
+            time_cond_layer:
+                idim: 512
+                time_dim: 64
+            style_cond_layer:
+                idim: 512
+                style_dim: 256
+            text_cond_layer:
+                idim: 512
+                text_dim: 256
+                n_heads: 4
+                use_residual: True
+                rotary_base: 10000
+                rotary_scale: 10
+            convnext_0:
+                idim: 512
+                ksz: 5
+                intermediate_dim: 1024
+                num_layers: 4
+                dilation_lst: [1, 2, 4, 8]
+            convnext_1:
+                idim: 512
+                ksz: 5
+                intermediate_dim: 1024
+                num_layers: 1
+                dilation_lst: [1]
+            convnext_2:
+                idim: 512
+                ksz: 5
+                intermediate_dim: 1024
+                num_layers: 1
+                dilation_lst: [1]
+        last_convnext:
+            idim: 512
+            ksz: 5
+            intermediate_dim: 1024
+            num_layers: 4
+            dilation_lst: [1, 1, 1, 1]
+        proj_out:
+            idim: 512
+            chunk_compress_factor: 6
+            ldim: 24
+
+ae:
+    sample_rate: 44100
+    n_delay: 0
+    base_chunk_size: 512
+    chunk_compress_factor: 1
+    ldim: 24
+    encoder:
+        spec_processor:
+            n_fft: 2048
+            win_length: 2048
+            hop_length: 512
+            n_mels: 228
+            sample_rate: 44100
+            eps: 1e-05
+            norm_mean: 0.0
+            norm_std: 1.0
+        ksz_init: 7
+        ksz: 7
+        num_layers: 10
+        dilation_lst: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
+        intermediate_dim: 2048
+        idim: 1253
+        hdim: 512
+        odim: 24
+    decoder:
+        ksz_init: 7
+        ksz: 7
+        num_layers: 10
+        dilation_lst: [1, 2, 4, 1, 2, 4, 1, 1, 1, 1]
+        intermediate_dim: 2048
+        idim: 24
+        hdim: 512
+        head:
+            idim: 512
+            hdim: 2048
+            odim: 512
+            ksz: 3
+
+dp:
+    latent_dim: 24
+    chunk_compress_factor: 6
+    normalizer:
+        scale: 1.0
+    sentence_encoder:
+        char_emb_dim: 64
+        char_dict_path: "resources/metadata/char_dict/opensource-en/char_dict.json"
+        text_embedder:
+            char_dict_path: "resources/metadata/char_dict/opensource-en/char_dict.json"
+            char_emb_dim: 64
+        convnext:
+            idim: 64
+            ksz: 5
+            intermediate_dim: 256
+            num_layers: 6
+            dilation_lst: [1, 1, 1, 1, 1, 1]
+        attn_encoder:
+            hidden_channels: 64
+            filter_channels: 256
+            n_heads: 2
+            n_layers: 2
+            p_dropout: 0.0
+        proj_out:
+            idim: 64
+            odim: 64
+    style_encoder:
+        proj_in:
+            ldim: 24
+            chunk_compress_factor: 6
+            odim: 64
+        convnext:
+            idim: 64
+            ksz: 5
+            intermediate_dim: 256
+            num_layers: 4
+            dilation_lst: [1, 1, 1, 1]
+        style_token_layer:
+            input_dim: 64
+            n_style: 8
+            style_key_dim: 0
+            style_value_dim: 16
+            prototype_dim: 64
+            n_units: 64
+            n_heads: 2
+    predictor:
+        sentence_dim: 64
+        n_style: 8
+        style_dim: 16
+        hdim: 128
+        n_layer: 2
+
+unicode_indexer_path: "/data/public/model/supertonic/tts/v1.5.0/opensource-en/onnx/unicode_indexer.npy"
+unicode_indexer_json_path: "/data/public/model/supertonic/tts/v1.5.0/opensource-en/onnx/unicode_indexer.json"
+window_path: "/data/public/model/supertonic/tts/v1.5.0/opensource-en/onnx/window.json"
+filter_bank_path: "/data/public/model/supertonic/tts/v1.5.0/opensource-en/onnx/filter_bank.json"
diff --git a/Cs_HMI/SubProject/SuperTonic/assets/onnx/unicode_indexer.json b/Cs_HMI/SubProject/SuperTonic/assets/onnx/unicode_indexer.json
new file mode 100644
index 0000000..2d0dadf
--- /dev/null
+++ b/Cs_HMI/SubProject/SuperTonic/assets/onnx/unicode_indexer.json
@@ -0,0 +1 @@
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diff --git a/Cs_HMI/SubProject/SuperTonic/assets/onnx/vocoder.onnx b/Cs_HMI/SubProject/SuperTonic/assets/onnx/vocoder.onnx
new file mode 100644
index 0000000..68132b3
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diff --git a/Cs_HMI/SubProject/SuperTonic/assets/voice_styles/F1.json b/Cs_HMI/SubProject/SuperTonic/assets/voice_styles/F1.json
new file mode 100644
index 0000000..8425228
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diff --git a/Cs_HMI/SubProject/SuperTonic/assets/voice_styles/F2.json b/Cs_HMI/SubProject/SuperTonic/assets/voice_styles/F2.json
new file mode 100644
index 0000000..ade0e07
--- /dev/null
+++ b/Cs_HMI/SubProject/SuperTonic/assets/voice_styles/F2.json
@@ -0,0 +1,13076 @@
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diff --git a/Cs_HMI/SubProject/SuperTonic/assets/voice_styles/M1.json b/Cs_HMI/SubProject/SuperTonic/assets/voice_styles/M1.json
new file mode 100644
index 0000000..f6e6b25
--- /dev/null
+++ b/Cs_HMI/SubProject/SuperTonic/assets/voice_styles/M1.json
@@ -0,0 +1,13076 @@
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\ No newline at end of file
diff --git a/Cs_HMI/SubProject/SuperTonic/assets/voice_styles/M2.json b/Cs_HMI/SubProject/SuperTonic/assets/voice_styles/M2.json
new file mode 100644
index 0000000..a38b1a1
--- /dev/null
+++ b/Cs_HMI/SubProject/SuperTonic/assets/voice_styles/M2.json
@@ -0,0 +1,13076 @@
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+    "dims": [
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+    "type": "float32"
+  },
+  "metadata": {
+    "source_file": "M2.wav",
+    "source_sample_rate": 44100,
+    "target_sample_rate": 44100,
+    "extracted_at": "2025-11-18T17:05:40.897689"
+  }
+}
\ No newline at end of file
diff --git a/Cs_HMI/SubProject/SuperTonic/packages.config b/Cs_HMI/SubProject/SuperTonic/packages.config
new file mode 100644
index 0000000..07942d4
--- /dev/null
+++ b/Cs_HMI/SubProject/SuperTonic/packages.config
@@ -0,0 +1,15 @@
+<?xml version="1.0" encoding="utf-8"?>
+<packages>
+  <package id="Microsoft.Bcl.AsyncInterfaces" version="10.0.1" targetFramework="net48" />
+  <package id="Microsoft.ML.OnnxRuntime" version="1.23.2" targetFramework="net48" />
+  <package id="Microsoft.ML.OnnxRuntime.Managed" version="1.23.2" targetFramework="net48" />
+  <package id="System.Buffers" version="4.6.1" targetFramework="net48" />
+  <package id="System.IO.Pipelines" version="10.0.1" targetFramework="net48" />
+  <package id="System.Memory" version="4.6.3" targetFramework="net48" />
+  <package id="System.Numerics.Vectors" version="4.6.1" targetFramework="net48" />
+  <package id="System.Runtime.CompilerServices.Unsafe" version="6.1.2" targetFramework="net48" />
+  <package id="System.Text.Encodings.Web" version="10.0.1" targetFramework="net48" />
+  <package id="System.Text.Json" version="10.0.1" targetFramework="net48" />
+  <package id="System.Threading.Tasks.Extensions" version="4.6.3" targetFramework="net48" />
+  <package id="System.ValueTuple" version="4.6.1" targetFramework="net48" />
+</packages>
\ No newline at end of file