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---
license: mit
datasets:
- Akjava/QWEN3-TTS-Voice-Clone-100-Japanese-Female-ITA-Corpus-Emotion
base_model:
- Akjava/matcha-tts_ja_100speakers_group005qw-100
---
This model is a 100-speaker multispeaker model in the Matcha-TTS format/architecture.(trained with Japanese)
<div class="audio-container">
<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>
<h5>spk10:A lower-pitched female voice with a strong core</h5>
<audio controls src="https://huggingface.co/Akjava/matcha-tts_ja_100speakers_group006/resolve/main/examples/qwen100_checkpoint_epoch=5874_ch10_kagu.wav"></audio>
<h4>私はあなたのことが心配です</h4>
<h5>spk99:A slightly quirky female voice that leaves a strong impression</h5>
<audio controls src="https://huggingface.co/Akjava/matcha-tts_ja_100speakers_group006/resolve/main/examples/qwen100_checkpoint_epoch=5874_ch99_watashi.wav"></audio>
<h4>僕はいつか面白いゲームを作りたい</h4>
<h5>spk26:AI-Game-Bu:SEAN</h5>
<audio controls src="https://huggingface.co/Akjava/matcha-tts_ja_100speakers_group006/resolve/main/examples/qwen100_checkpoint_epoch=5874_ch26_boku.wav"></audio>
</div>
This model is replaced 10 qwen-character to chatterbox(common voice) character.
trained mel_mean/mel_std is difference than group005qw
## Qwen3-TTS and Chatterbox Multingual Mixed
[Chatterbox](https://huggingface.co/ResembleAI/chatterbox)
I faild to confirm watermark because of technical probrom,but maybe chatterbox watermark is exist.
If you don't like the watermark, use qwen3-tts only version
- there are similar [qwen3-tts only](https://huggingface.co/Akjava/matcha-tts_ja_100speakers_group005qw-100) version
## license
This model license is under MIT
My training data is created by Apache Licensed/mit model output.
https://huggingface.co/Qwen/Qwen3-TTS-12Hz-1.7B-Base
Matcha-TTS is MIT
https://github.com/shivammehta25/Matcha-TTS
## Training
need checkpoint and audio from there
https://huggingface.co/Akjava/matcha-tts_ja_100speakers_group005qw-100
Use this.
https://github.com/akjava/Matcha-TTS-Japanese
## Demo
https://ai-game-bu.itch.io/ai-gaming-voice