## ð¸Coqui.ai News
- ð£ âTTSv2 is here with 16 languages and better performance across the board.
- ð£ âTTS fine-tuning code is out. Check the [example recipes](https://github.com/coqui-ai/TTS/tree/dev/recipes/ljspeech).
- ð£ âTTS can now stream with <200ms latency.
- ð£ âTTS, our production TTS model that can speak 13 languages, is released [Blog Post](https://coqui.ai/blog/tts/open_xtts), [Demo](https://huggingface.co/spaces/coqui/xtts), [Docs](https://tts.readthedocs.io/en/dev/models/xtts.html)
- ð£ [ð¶Bark](https://github.com/suno-ai/bark) is now available for inference with unconstrained voice cloning. [Docs](https://tts.readthedocs.io/en/dev/models/bark.html)
- ð£ You can use [~1100 Fairseq models](https://github.com/facebookresearch/fairseq/tree/main/examples/mms) with ð¸TTS.
- ð£ ð¸TTS now supports ð¢Tortoise with faster inference. [Docs](https://tts.readthedocs.io/en/dev/models/tortoise.html)
- ð£ Voice generation with prompts - **Prompt to Voice** - is live on [**Coqui Studio**](https://app.coqui.ai/auth/signin)!! - [Blog Post](https://coqui.ai/blog/tts/prompt-to-voice)
- ð£ Voice generation with fusion - **Voice fusion** - is live on [**Coqui Studio**](https://app.coqui.ai/auth/signin).
- ð£ Voice cloning is live on [**Coqui Studio**](https://app.coqui.ai/auth/signin).
<div align="center">
<img src="https://static.scarf.sh/a.png?x-pxid=cf317fe7-2188-4721-bc01-124bb5d5dbb2" />
## <img src="https://raw.githubusercontent.com/coqui-ai/TTS/main/images/coqui-log-green-TTS.png" height="56"/>
**ð¸TTS is a library for advanced Text-to-Speech generation.**
ð Pretrained models in +1100 languages.
ð ï¸ Tools for training new models and fine-tuning existing models in any language.
ð Utilities for dataset analysis and curation.
______________________________________________________________________
[](https://discord.gg/5eXr5seRrv)
[](https://opensource.org/licenses/MPL-2.0)
[](https://badge.fury.io/py/TTS)
[](https://github.com/coqui-ai/TTS/blob/master/CODE_OF_CONDUCT.md)
[](https://pepy.tech/project/tts)
[](https://zenodo.org/badge/latestdoi/265612440)
[](https://tts.readthedocs.io/en/latest/)
</div>
______________________________________________________________________
## ð¬ Where to ask questions
Please use our dedicated channels for questions and discussion. Help is much more valuable if it's shared publicly so that more people can benefit from it.
| Type | Platforms |
| ------------------------------- | --------------------------------------- |
| ð¨ **Bug Reports** | [GitHub Issue Tracker] |
| ð **Feature Requests & Ideas** | [GitHub Issue Tracker] |
| ð©âð» **Usage Questions** | [GitHub Discussions] |
| ð¯ **General Discussion** | [GitHub Discussions] or [Discord] |
[github issue tracker]: https://github.com/coqui-ai/tts/issues
[github discussions]: https://github.com/coqui-ai/TTS/discussions
[discord]: https://discord.gg/5eXr5seRrv
[Tutorials and Examples]: https://github.com/coqui-ai/TTS/wiki/TTS-Notebooks-and-Tutorials
## ð Links and Resources
| Type | Links |
| ------------------------------- | --------------------------------------- |
| ð¼ **Documentation** | [ReadTheDocs](https://tts.readthedocs.io/en/latest/)
| ð¾ **Installation** | [TTS/README.md](https://github.com/coqui-ai/TTS/tree/dev#installation)|
| ð©âð» **Contributing** | [CONTRIBUTING.md](https://github.com/coqui-ai/TTS/blob/main/CONTRIBUTING.md)|
| ð **Road Map** | [Main Development Plans](https://github.com/coqui-ai/TTS/issues/378)
| ð **Released Models** | [TTS Releases](https://github.com/coqui-ai/TTS/releases) and [Experimental Models](https://github.com/coqui-ai/TTS/wiki/Experimental-Released-Models)|
| ð° **Papers** | [TTS Papers](https://github.com/erogol/TTS-papers)|
## ð¥ TTS Performance
<p align="center"><img src="https://raw.githubusercontent.com/coqui-ai/TTS/main/images/TTS-performance.png" width="800" /></p>
Underlined "TTS*" and "Judy*" are **internal** ð¸TTS models that are not released open-source. They are here to show the potential. Models prefixed with a dot (.Jofish .Abe and .Janice) are real human voices.
## Features
- High-performance Deep Learning models for Text2Speech tasks.
- Text2Spec models (Tacotron, Tacotron2, Glow-TTS, SpeedySpeech).
- Speaker Encoder to compute speaker embeddings efficiently.
- Vocoder models (MelGAN, Multiband-MelGAN, GAN-TTS, ParallelWaveGAN, WaveGrad, WaveRNN)
- Fast and efficient model training.
- Detailed training logs on the terminal and Tensorboard.
- Support for Multi-speaker TTS.
- Efficient, flexible, lightweight but feature complete `Trainer API`.
- Released and ready-to-use models.
- Tools to curate Text2Speech datasets under```dataset_analysis```.
- Utilities to use and test your models.
- Modular (but not too much) code base enabling easy implementation of new ideas.
## Model Implementations
### Spectrogram models
- Tacotron: [paper](https://arxiv.org/abs/1703.10135)
- Tacotron2: [paper](https://arxiv.org/abs/1712.05884)
- Glow-TTS: [paper](https://arxiv.org/abs/2005.11129)
- Speedy-Speech: [paper](https://arxiv.org/abs/2008.03802)
- Align-TTS: [paper](https://arxiv.org/abs/2003.01950)
- FastPitch: [paper](https://arxiv.org/pdf/2006.06873.pdf)
- FastSpeech: [paper](https://arxiv.org/abs/1905.09263)
- FastSpeech2: [paper](https://arxiv.org/abs/2006.04558)
- SC-GlowTTS: [paper](https://arxiv.org/abs/2104.05557)
- Capacitron: [paper](https://arxiv.org/abs/1906.03402)
- OverFlow: [paper](https://arxiv.org/abs/2211.06892)
- Neural HMM TTS: [paper](https://arxiv.org/abs/2108.13320)
- Delightful TTS: [paper](https://arxiv.org/abs/2110.12612)
### End-to-End Models
- âTTS: [blog](https://coqui.ai/blog/tts/open_xtts)
- VITS: [paper](https://arxiv.org/pdf/2106.06103)
- ð¸ YourTTS: [paper](https://arxiv.org/abs/2112.02418)
- ð¢ Tortoise: [orig. repo](https://github.com/neonbjb/tortoise-tts)
- ð¶ Bark: [orig. repo](https://github.com/suno-ai/bark)
### Attentio
TTS是一个用于高级文本到语音生成的库 +1100种语言的预训练模型 用于任何语言训练新模型和微调现有模型的工具 用于数据集分析
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TTS是一个用于高级文本到语音生成的库 +1100种语言的预训练模型 用于任何语言训练新模型和微调现有模型的工具 用于数据集分析 （658个子文件） 
make.bat 760B CITATION.cff 589B setup.cfg 104B metadata.csv 2KB qmf.dat 11KB Dockerfile.dev 1KB Dockerfile 578B Dockerfile 437B .dockerignore 100B
tts_cli.gif 166KB demo_server.gif 94KB .gitignore 2KB .gitignore 22B
index.html 6KB details.html 3KB page.html 80B MANIFEST.in 362B CheckPitch.ipynb 144KB Tutorial_2_train_your_first_TTS_model.ipynb 14KB ExtractTTSpectrogram.ipynb 12KB AnalyzeDataset.ipynb 10KB choose_speaker.ipynb 10KB PlotUmapLibriTTS.ipynb 9KB CheckSpectrograms.ipynb 9KB TestAttention.ipynb 8KB Tutorial_1_use-pretrained-TTS.ipynb 7KB PhonemeCoverage.ipynb 7KB CheckDatasetSNR.ipynb 6KB Tortoise.ipynb 3KB dummy_speakers.json 3.2MB dummy_speakers2.json 3.2MB xtts_vocab.json 287KB speakers.json 85KB .models.json 43KB test_tacotron2_config.json 11KB test_tacotron_config.json 11KB test_tacotron_bd_config.json 11KB test_speedy_speech.json 8KB test_align_tts.json 8KB test_glow_tts.json 8KB dummy_model_config.json 7KB test_vocoder_multiband_melgan_config.json 7KB test_vocoder_wavegrad.json 6KB test_vocoder_wavernn_config.json 6KB tokenizer.json 4KB test_speaker_encoder_config.json 4KB tacotron2-DDC.json 3KB config.json 2KB test_config.json 2KB test_vocoder_audio_config.json 1KB server_config.json 642B conf.json 456B language_ids.json 47B Makefile 2KB Makefile 664B README.md 17KB xtts.md 15KB implementing_a_new_model.md 8KB faq.md 8KB inference.md 7KB CONTRIBUTING.md 6KB README.md 6KB formatting_your_dataset.md 6KB finetuning.md 5KB CODE_OF_CONDUCT.md 5KB training_a_model.md 5KB marytts.md 4KB bark.md 3KB tutorial_for_nervous_beginners.md 3KB tortoise.md 3KB tacotron1-2.md 3KB what_makes_a_good_dataset.md 3KB configuration.md 3KB forward_tts.md 2KB docker_images.md 2KB README.md 2KB vits.md 2KB overflow.md 2KB README.md 1KB README.md 1KB README.md 1KB index.md 1KB tts_datasets.md 1KB README.md 929B README.md 872B PR_TEMPLATE.md 856B implementing_a_new_language_frontend.md 852B glow_tts.md 788B README.md 769B installation.md 715B feature_request.md 710B audio_processor.md 679B model_api.md 450B dataset.md 416B README.md 366B gan.md 340B speaker_manager.md 281B trainer_api.md 93B contributing.md 57B README.md 0B共 658 条
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