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@@ -8,6 +8,7 @@ tags:
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  - matcha-tts
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  ---
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  # Matcha-TTS CommonVoice EN001
 
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  ## Source Audio
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  https://commonvoice.mozilla.org/en/datasets
@@ -16,13 +17,13 @@ Common Voice Corpus 1
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  I called audios 42da7f26(head-audio-id)_290(files) EN001
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  (No plan to include audios in this repo)
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  ## Any Good point?
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- LJSpeech is much better quality,but it's female voice.
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  VCTK 107 voices are similar quality,but that is ODC-By License.
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  This audio is just under MIT more easy to continue training or something.
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- however I recommend you use VCTK,ODC-By License is not so problem.I'm going to create new voices with this.
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  ## How to Train
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  Train with IPA text(this folk)
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  https://github.com/akjava/Matcha-TTS-Japanese
@@ -39,6 +40,9 @@ Sadly I lost between 3599 - 4499 checkpoints.I'm sorry.
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  see Training metrics
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  ### ONNX
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  onnx simplified loading speed is now 1.5 times faster.
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  ```
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  from onnxsim import simplify
 
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  - matcha-tts
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  ---
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  # Matcha-TTS CommonVoice EN001
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+ [Github Demo](https://akjava.github.io/Matcha-TTS-Japanese/matcha_tts_speak_en001.html)
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  ## Source Audio
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  https://commonvoice.mozilla.org/en/datasets
 
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  I called audios 42da7f26(head-audio-id)_290(files) EN001
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  (No plan to include audios in this repo)
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  ## Any Good point?
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+ LJSpeech is much better quality,but it's female voice.This one is men.
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  VCTK 107 voices are similar quality,but that is ODC-By License.
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  This audio is just under MIT more easy to continue training or something.
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+ however I recommend you use VCTK,ODC-By License is not so problem.I'm going to create new voices with this in future.
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  ## How to Train
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  Train with IPA text(this folk)
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  https://github.com/akjava/Matcha-TTS-Japanese
 
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  see Training metrics
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  ### ONNX
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+ [github codes](https://github.com/akjava/Matcha-TTS-Japanese/tree/main/examples) - see sourcecode
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+ [github Page](https://akjava.github.io/Matcha-TTS-Japanese/) - Test Onnx Example
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+
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  onnx simplified loading speed is now 1.5 times faster.
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  ```
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  from onnxsim import simplify