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gpt_sovits_v3

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gpt_sovits_v3
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@ -269,12 +269,12 @@ Use v2 from v1 environment:
- [ ] **Features:**
- [x] Zero-shot voice conversion (5s) / few-shot voice conversion (1min).
- [x] TTS speaking speed control.
- [ ] ~~Enhanced TTS emotion control.~~
- [ ] ~~Enhanced TTS emotion control.~~ Maybe use pretrained finetuned preset GPT models for better emotion.
- [ ] Experiment with changing SoVITS token inputs to probability distribution of GPT vocabs (transformer latent).
- [x] Improve English and Japanese text frontend.
- [ ] Develop tiny and larger-sized TTS models.
- [x] Colab scripts.
- [ ] Try expand training dataset (2k hours -> 10k hours).
- [x] Try expand training dataset (2k hours -> 10k hours).
- [x] better sovits base model (enhanced audio quality)
- [ ] model mix
@ -321,9 +321,11 @@ Special thanks to the following projects and contributors:
- [contentvec](https://github.com/auspicious3000/contentvec/)
- [hifi-gan](https://github.com/jik876/hifi-gan)
- [fish-speech](https://github.com/fishaudio/fish-speech/blob/main/tools/llama/generate.py#L41)
- [f5-TTS](https://github.com/SWivid/F5-TTS/blob/main/src/f5_tts/model/backbones/dit.py)
### Pretrained Models
- [Chinese Speech Pretrain](https://github.com/TencentGameMate/chinese_speech_pretrain)
- [Chinese-Roberta-WWM-Ext-Large](https://huggingface.co/hfl/chinese-roberta-wwm-ext-large)
- [BigVGAN](https://github.com/NVIDIA/BigVGAN)
### Text Frontend for Inference
- [paddlespeech zh_normalization](https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/paddlespeech/t2s/frontend/zh_normalization)
- [LangSegment](https://github.com/juntaosun/LangSegment)