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  1. README.md +1 -1
  2. RunJets.cs +3 -3
  3. jets-text-to-speech.sentis +2 -2
README.md CHANGED
@@ -3,7 +3,7 @@ license: cc-by-4.0
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  library_name: unity-sentis
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  ---
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- # Jets Text-to-Speech Model validated for Unity Sentis (Version 1.3.0-pre.3 Only*)
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  *Version 1.3.0 Sentis files are not compatible with version 1.4.0 and above and will need to be recreated
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  This is a text to speech model called [Jets](https://huggingface.co/imdanboy/jets). It takes in a text string which you convert to phonemes using a dictionary and then outputs a wav to play the voice.
 
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  library_name: unity-sentis
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  ---
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+ # Jets Text-to-Speech Model validated for Unity Sentis (Version 1.4.0-pre.2*)
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  *Version 1.3.0 Sentis files are not compatible with version 1.4.0 and above and will need to be recreated
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  This is a text to speech model called [Jets](https://huggingface.co/imdanboy/jets). It takes in a text string which you convert to phonemes using a dictionary and then outputs a wav to play the voice.
RunJets.cs CHANGED
@@ -51,7 +51,7 @@ public class RunJets : MonoBehaviour
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  void LoadModel()
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  {
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- var model = ModelLoader.Load(Application.streamingAssetsPath + "/jets-text-to-speech.sentis");
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  engine = WorkerFactory.CreateWorker(BackendType.GPUCompute, model);
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  }
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@@ -76,7 +76,7 @@ public class RunJets : MonoBehaviour
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  void ReadDictionary()
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  {
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  if (!hasPhenomeDictionary) return;
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- string[] words = File.ReadAllLines(Application.streamingAssetsPath+"/phoneme_dict.txt");
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  for (int i = 0; i < words.Length; i++)
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  {
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  string s = words[i];
@@ -171,7 +171,7 @@ public class RunJets : MonoBehaviour
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  var result = engine.Execute(input);
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  var output = result.PeekOutput("wav") as TensorFloat;
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- output.MakeReadable();
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  var samples = output.ToReadOnlyArray();
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  Debug.Log($"Audio size = {samples.Length / samplerate} seconds");
 
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  void LoadModel()
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  {
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+ var model = ModelLoader.Load(Path.Join(Application.streamingAssetsPath ,"jets-text-to-speech.sentis"));
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  engine = WorkerFactory.CreateWorker(BackendType.GPUCompute, model);
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  }
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  void ReadDictionary()
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  {
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  if (!hasPhenomeDictionary) return;
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+ string[] words = File.ReadAllLines(Path.Join(Application.streamingAssetsPath,"phoneme_dict.txt"));
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  for (int i = 0; i < words.Length; i++)
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  {
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  string s = words[i];
 
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  var result = engine.Execute(input);
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  var output = result.PeekOutput("wav") as TensorFloat;
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+ output.CompleteOperationsAndDownload();
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  var samples = output.ToReadOnlyArray();
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  Debug.Log($"Audio size = {samples.Length / samplerate} seconds");
jets-text-to-speech.sentis CHANGED
@@ -1,3 +1,3 @@
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  version https://git-lfs.github.com/spec/v1
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- oid sha256:f1541f940099ef2d851adfd23b43b9d0226208ba0b062da7ff7038a0315295bd
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- size 138538708
 
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:405a4e8d24b07142ac6109b653750b5d97ec720bbea41c5e76838e5f30ec5c70
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+ size 138331240