PiaoYang
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PPTTS.md | ||
PPTTS_cn.md | ||
README.md | ||
advanced_usage.md | ||
demo.rst | 2 years ago | |
demo_2.rst | 2 years ago | |
gan_vocoder.md | ||
models_introduction.md | ||
quick_start.md | 2 years ago | |
quick_start_cn.md | 2 years ago | |
svs_music_score.md | 2 years ago | |
test_sentence.txt | ||
tts_datasets.md | ||
tts_papers.md | 2 years ago | |
zh_text_frontend.md |
README.md
Parakeet
Parakeet aims to provide a flexible, efficient, and state-of-the-art text-to-speech toolkit for the open-source community. It is built on PaddlePaddle dynamic graph and includes many influential TTS models.
Overview
To facilitate exploiting the existing TTS models directly and developing the new ones, Parakeet selects typical models and provides their reference implementations in PaddlePaddle. Furthermore, Parakeet abstracts the TTS pipeline and standardizes the procedure of data preprocessing, common modules sharing, model configuration, and the process of training and synthesis. The models supported here include Text FrontEnd, end-to-end Acoustic models, and Vocoders:
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Text FrontEnd
- Rule-based Chinese frontend.
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Acoustic Models
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Vocoders
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Voice Cloning
Audio samples
Check our website for audio sampels.
Released Model
Acoustic Model
FastSpeech2/FastPitch
- fastspeech2_nosil_baker_ckpt_0.4.zip
- fastspeech2_nosil_aishell3_ckpt_0.4.zip
- fastspeech2_nosil_ljspeech_ckpt_0.5.zip