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  2. README.md +42 -0
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  16. configs/experiment/qwen100.yaml +15 -0
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README.md CHANGED
@@ -1,3 +1,45 @@
1
  ---
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  license: mit
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
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  license: mit
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  ---
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+ This model is a 100-speaker multispeaker model in the Matcha-TTS format/architecture.(trained with Japanese)
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+
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+ <div class="audio-container">
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+ <h4>家具商人のフィシェルは、荷車と仔馬を貸してくれた。</h4>
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+ <h5>spk10:A lower-pitched female voice with a strong core</h5>
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+ <audio controls src="https://huggingface.co/Akjava/matcha-tts_ja_100speakers_group006/resolve/main/examples/qwen100_checkpoint_epoch=5874_ch10_kagu.wav"></audio>
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+ <h4>私はあなたのことが心配です</h4>
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+ <h5>spk99:A slightly quirky female voice that leaves a strong impression</h5>
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+ <audio controls src="https://huggingface.co/Akjava/matcha-tts_ja_100speakers_group006/resolve/main/examples/qwen100_checkpoint_epoch=5874_ch99_watashi.wav"></audio>
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+ <h4>僕はいつか面白いゲームを作りたい</h4>
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+ <h5>spk26:AI-Game-Bu:SEAN</h5>
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+ <audio controls src="https://huggingface.co/Akjava/matcha-tts_ja_100speakers_group006/resolve/main/examples/qwen100_checkpoint_epoch=5874_ch26_boku.wav"></audio>
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+ </div>
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+
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+ This model is replaced 10 qwen-character to chatterbox(common voice) character.
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+
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+ trained mel_mean/mel_std is difference than group005qw
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+ ## Qwen3-TTS and Chatterbox Multingual Mixed
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+ [https://huggingface.co/ResembleAI/chatterbox]
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+ I faild to confirm watermark because of technical probrom,but maybe chatterbox watermark is exist.
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+ If you don't like the watermark, use qwen3-tts only version
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+
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+ - there are similar [qwen3-tts only](https://huggingface.co/Akjava/matcha-tts_ja_100speakers_group005qw-100) version
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+
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+ ## license
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+ This model license is under MIT
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+
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+ My training data is created by Apache Licensed/mit model output.
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+ https://huggingface.co/Qwen/Qwen3-TTS-12Hz-1.7B-Base
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+
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+ Matcha-TTS is MIT
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+ https://github.com/shivammehta25/Matcha-TTS
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+
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+ ## Training
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+ need checkpoint from there
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+ https://huggingface.co/Akjava/matcha-tts_ja_100speakers_group003f-CL-V2
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+
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+ Use this.
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+ https://github.com/akjava/Matcha-TTS-Japanese
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+
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+ ## Demo
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+ https://ai-game-bu.itch.io/ai-gaming-voice
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+ defaults:
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+ - _self_
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+ _target_: matcha.data.text_mel_datamodule.TextMelDataModule
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+ name: vctk
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+ # @package _global_
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+ # to execute this experiment run:
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+ # python train.py experiment=multispeaker
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+
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+ defaults:
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+ - override /data: qwen100.yaml
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+
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+ # all parameters below will be merged with parameters from default configurations set above
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+ # this allows you to overwrite only specified parameters
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+ tags: ["qwen100"]
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+ run_name: qwen100
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