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(简体中文|[English](./README.md))
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<p align="center">
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<img src="./docs/images/PaddleSpeech_logo.png" />
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</p>
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<p align="center">
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<a href="./LICENSE"><img src="https://img.shields.io/badge/license-Apache%202-red.svg"></a>
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<a href="https://github.com/PaddlePaddle/PaddleSpeech/releases"><img src="https://img.shields.io/github/v/release/PaddlePaddle/PaddleSpeech?color=ffa"></a>
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<a href="support os"><img src="https://img.shields.io/badge/os-linux%2C%20win%2C%20mac-pink.svg"></a>
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<a href=""><img src="https://img.shields.io/badge/python-3.7+-aff.svg"></a>
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<a href="https://github.com/PaddlePaddle/PaddleSpeech/graphs/contributors"><img src="https://img.shields.io/github/contributors/PaddlePaddle/PaddleSpeech?color=9ea"></a>
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<a href="https://github.com/PaddlePaddle/PaddleSpeech/commits"><img src="https://img.shields.io/github/commit-activity/m/PaddlePaddle/PaddleSpeech?color=3af"></a>
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<a href="https://github.com/PaddlePaddle/PaddleSpeech/issues"><img src="https://img.shields.io/github/issues/PaddlePaddle/PaddleSpeech?color=9cc"></a>
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<a href="https://github.com/PaddlePaddle/PaddleSpeech/stargazers"><img src="https://img.shields.io/github/stars/PaddlePaddle/PaddleSpeech?color=ccf"></a>
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<a href="=https://pypi.org/project/paddlespeech/"><img src="https://img.shields.io/pypi/dm/PaddleSpeech"></a>
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<a href="=https://pypi.org/project/paddlespeech/"><img src="https://static.pepy.tech/badge/paddlespeech"></a>
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<a href="https://huggingface.co/spaces"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue"></a>
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</p>
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<div align="center">
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<h4>
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<a href="#安装"> 安装 </a>
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| <a href="#快速开始"> 快速开始 </a>
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| <a href="#教程文档"> 教程文档 </a>
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| <a href="#模型列表"> 模型列表 </a>
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| <a href="https://aistudio.baidu.com/aistudio/course/introduce/25130"> AIStudio 课程 </a>
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| <a href="https://arxiv.org/abs/2205.12007"> NAACL2022 论文 </a>
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| <a href="https://gitee.com/paddlepaddle/PaddleSpeech"> Gitee
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</h4>
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</div>
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------------------------------------------------------------------------------------
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**PaddleSpeech** 是基于飞桨 [PaddlePaddle](https://github.com/PaddlePaddle/Paddle) 的语音方向的开源模型库，用于语音和音频中的各种关键任务的开发，包含大量基于深度学习前沿和有影响力的模型，一些典型的应用示例如下：
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**PaddleSpeech** 荣获 [NAACL2022 Best Demo Award](https://2022.naacl.org/blog/best-demo-award/), 请访问 [Arxiv](https://arxiv.org/abs/2205.12007) 论文。
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### 效果展示
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##### 语音识别
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<div align = "center">
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<table style="width:100%">
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<thead>
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<tr>
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<th> 输入音频 </th>
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<th width="550"> 识别结果 </th>
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</tr>
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</thead>
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<tbody>
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<tr>
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<td align = "center">
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<a href="https://paddlespeech.bj.bcebos.com/PaddleAudio/en.wav" rel="nofollow">
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<img align="center" src="./docs/images/audio_icon.png" width="200 style="max-width: 100%;"></a><br>
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</td>
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<td >I knocked at the door on the ancient side of the building.</td>
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</tr>
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<tr>
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<td align = "center">
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<a href="https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav" rel="nofollow">
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<img align="center" src="./docs/images/audio_icon.png" width="200" style="max-width: 100%;"></a><br>
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</td>
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<td>我认为跑步最重要的就是给我带来了身体健康。</td>
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</tr>
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</tbody>
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</table>
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</div>
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##### 语音翻译 (英译中)
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<div align = "center">
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<table style="width:100%">
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<thead>
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<tr>
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<th> 输入音频 </th>
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<th width="550"> 翻译结果 </th>
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</tr>
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</thead>
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<tbody>
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<tr>
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<td align = "center">
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<a href="https://paddlespeech.bj.bcebos.com/PaddleAudio/en.wav" rel="nofollow">
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<img align="center" src="./docs/images/audio_icon.png" width="200 style="max-width: 100%;"></a><br>
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</td>
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<td >我 在 这栋 建筑 的 古老 门上 敲门。</td>
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</tr>
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</tbody>
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</table>
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</div>
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##### 语音合成
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<div align = "center">
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<table style="width:100%">
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<thead>
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<tr>
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<th width="550">输入文本</th>
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<th>合成音频</th>
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</tr>
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</thead>
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<tbody>
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<tr>
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<td >Life was like a box of chocolates, you never know what you're gonna get.</td>
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<td align = "center">
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<a href="https://paddlespeech.bj.bcebos.com/Parakeet/docs/demos/tacotron2_ljspeech_waveflow_samples_0.2/sentence_1.wav" rel="nofollow">
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<img align="center" src="./docs/images/audio_icon.png" width="200" style="max-width: 100%;"></a><br>
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</td>
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</tr>
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<tr>
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<td >早上好，今天是2020/10/29，最低温度是-3°C。</td>
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<td align = "center">
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<a href="https://paddlespeech.bj.bcebos.com/Parakeet/docs/demos/parakeet_espnet_fs2_pwg_demo/tn_g2p/parakeet/001.wav" rel="nofollow">
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<img align="center" src="./docs/images/audio_icon.png" width="200" style="max-width: 100%;"></a><br>
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</td>
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</tr>
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<tr>
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<td >季姬寂，集鸡，鸡即棘鸡。棘鸡饥叽，季姬及箕稷济鸡。鸡既济，跻姬笈，季姬忌，急咭鸡，鸡急，继圾几，季姬急，即籍箕击鸡，箕疾击几伎，伎即齑，鸡叽集几基，季姬急极屐击鸡，鸡既殛，季姬激，即记《季姬击鸡记》。</td>
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|
<td align = "center">
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|
|
<a href="https://paddlespeech.bj.bcebos.com/Parakeet/docs/demos/jijiji.wav" rel="nofollow">
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|
<img align="center" src="./docs/images/audio_icon.png" width="200" style="max-width: 100%;"></a><br>
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</td>
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</tr>
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</tbody>
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</table>
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</div>
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更多合成音频，可以参考 [PaddleSpeech 语音合成音频示例](https://paddlespeech.readthedocs.io/en/latest/tts/demo.html)。
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##### 标点恢复
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|
|
<div align = "center">
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|
|
<table style="width:100%">
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<thead>
|
|
|
<tr>
|
|
|
<th width="390"> 输入文本 </th>
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|
|
<th width="390"> 输出文本 </th>
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|
|
</tr>
|
|
|
</thead>
|
|
|
<tbody>
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<tr>
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|
<td>今天的天气真不错啊你下午有空吗我想约你一起去吃饭</td>
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<td>今天的天气真不错啊！你下午有空吗？我想约你一起去吃饭。</td>
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</tr>
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</tbody>
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</table>
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</div>
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### 特性
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|
本项目采用了易用、高效、灵活以及可扩展的实现，旨在为工业应用、学术研究提供更好的支持，实现的功能包含训练、推断以及测试模块，以及部署过程，主要包括
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- 📦 **易用性**: 安装门槛低，可使用 [CLI](#quick-start) 快速开始。
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|
- 🏆 **对标 SoTA**: 提供了高速、轻量级模型，且借鉴了最前沿的技术。
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|
- 🏆 **流式 ASR 和 TTS 系统**：工业级的端到端流式识别、流式合成系统。
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|
- 💯 **基于规则的中文前端**: 我们的前端包含文本正则化和字音转换（G2P）。此外，我们使用自定义语言规则来适应中文语境。
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|
|
- **多种工业界以及学术界主流功能支持**:
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|
|
- 🛎️ 典型音频任务: 本工具包提供了音频任务如音频分类、语音翻译、自动语音识别、文本转语音、语音合成、声纹识别、KWS等任务的实现。
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- 🔬 主流模型及数据集: 本工具包实现了参与整条语音任务流水线的各个模块，并且采用了主流数据集如 LibriSpeech、LJSpeech、AIShell、CSMSC，详情请见 [模型列表](#model-list)。
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- 🧩 级联模型应用: 作为传统语音任务的扩展，我们结合了自然语言处理、计算机视觉等任务，实现更接近实际需求的产业级应用。
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|
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|
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### 近期更新
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|
|
- 🔥 2022.10.26: TTS 新增[韵律预测](https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/examples/other/rhy)功能。
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|
- 🎉 2022.10.21: TTS 中文文本前端新增 [SSML](https://github.com/PaddlePaddle/PaddleSpeech/discussions/2538) 功能。
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|
- 👑 2022.10.11: 新增 [Wav2vec2ASR](./examples/librispeech/asr3), 在 LibriSpeech 上针对 ASR 任务对 wav2vec2.0 的 finetuning。
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- 🔥 2022.09.26: 新增 Voice Cloning, TTS finetune 和 ERNIE-SAT 到 [PaddleSpeech 网页应用](./demos/speech_web)。
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|
- ⚡ 2022.09.09: 新增基于 ECAPA-TDNN 声纹模型的 AISHELL-3 Voice Cloning [示例](./examples/aishell3/vc2)。
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|
|
- ⚡ 2022.08.25: 发布 TTS [finetune](./examples/other/tts_finetune/tts3) 示例。
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|
|
- 🔥 2022.08.22: 新增 ERNIE-SAT 模型: [ERNIE-SAT-vctk](./examples/vctk/ernie_sat)、[ERNIE-SAT-aishell3](./examples/aishell3/ernie_sat)、[ERNIE-SAT-zh_en](./examples/aishell3_vctk/ernie_sat)。
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- 🔥 2022.08.15: 将 [g2pW](https://github.com/GitYCC/g2pW) 引入 TTS 中文文本前端。
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|
- 🔥 2022.08.09: 发布[中英文混合 TTS](./examples/zh_en_tts/tts3)。
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|
|
- ⚡ 2022.08.03: TTS CLI 新增 ONNXRuntime 推理方式。
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|
- 🎉 2022.07.18: 发布 VITS 模型: [VITS-csmsc](./examples/csmsc/vits)、[VITS-aishell3](./examples/aishell3/vits)、[VITS-VC](./examples/aishell3/vits-vc)。
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- 🎉 2022.06.22: 所有 TTS 模型支持了 ONNX 格式。
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- 🍀 2022.06.17: 新增 [PaddleSpeech 网页应用](./demos/speech_web)。
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|
|
- 👑 2022.05.13: PaddleSpeech 发布 [PP-ASR](./docs/source/asr/PPASR_cn.md) 流式语音识别系统、[PP-TTS](./docs/source/tts/PPTTS_cn.md) 流式语音合成系统、[PP-VPR](docs/source/vpr/PPVPR_cn.md) 全链路声纹识别系统
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|
- 👏🏻 2022.05.06: PaddleSpeech Streaming Server 上线！覆盖了语音识别（标点恢复、时间戳）和语音合成。
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|
- 👏🏻 2022.05.06: PaddleSpeech Server 上线！覆盖了声音分类、语音识别、语音合成、声纹识别，标点恢复。
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- 👏🏻 2022.03.28: PaddleSpeech CLI 覆盖声音分类、语音识别、语音翻译（英译中）、语音合成和声纹验证。
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- 🤗 2021.12.14: PaddleSpeech [ASR](https://huggingface.co/spaces/KPatrick/PaddleSpeechASR) 和 [TTS](https://huggingface.co/spaces/KPatrick/PaddleSpeechTTS) 可在 Hugging Face Spaces 上体验！
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|
- 👏🏻 2021.12.10: PaddleSpeech CLI 支持语音分类, 语音识别, 语音翻译（英译中）和语音合成。
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|
|
|
|
|
|
### 🔥 加入技术交流群获取入群福利
|
|
|
|
|
|
- 3 日直播课链接: 深度解读 【一句话语音合成】【小样本语音合成】【定制化语音识别】语音交互技术
|
|
|
- 20G 学习大礼包：视频课程、前沿论文与学习资料
|
|
|
|
|
|
微信扫描二维码关注公众号，点击“马上报名”填写问卷加入官方交流群，获得更高效的问题答疑，与各行各业开发者充分交流，期待您的加入。
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|
|
|
<div align="center">
|
|
|
<img src="https://user-images.githubusercontent.com/30135920/196351517-19dece6b-d6ea-448e-a341-d6bfe5712ec1.jpg" width = "200" />
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</div>
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|
<a name="安装"></a>
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|
|
## 安装
|
|
|
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|
|
我们强烈建议用户在 **Linux** 环境下，*3.7* 以上版本的 *python* 上安装 PaddleSpeech。
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|
|
|
### 相关依赖
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|
+ gcc >= 4.8.5
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|
+ paddlepaddle >= 2.4rc
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|
+ python >= 3.7
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|
+ linux(推荐), mac, windows
|
|
|
|
|
|
PaddleSpeech 依赖于 paddlepaddle，安装可以参考[ paddlepaddle 官网](https://www.paddlepaddle.org.cn/)，根据自己机器的情况进行选择。这里给出 cpu 版本示例，其它版本大家可以根据自己机器的情况进行安装。
|
|
|
|
|
|
```shell
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|
|
pip install paddlepaddle -i https://mirror.baidu.com/pypi/simple
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|
```
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|
|
你也可以安装指定版本的paddlepaddle，或者安装 develop 版本。
|
|
|
```bash
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|
# 安装2.3.1版本. 注意：2.3.1只是一个示例，请按照对paddlepaddle的最小依赖进行选择。
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|
|
pip install paddlepaddle==2.3.1 -i https://mirror.baidu.com/pypi/simple
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|
|
# 安装 develop 版本
|
|
|
pip install paddlepaddle==0.0.0 -f https://www.paddlepaddle.org.cn/whl/linux/cpu-mkl/develop.html
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|
```
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|
PaddleSpeech 快速安装方式有两种，一种是 pip 安装，一种是源码编译（推荐）。
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|
|
|
|
|
### pip 安装
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|
|
```shell
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|
|
pip install pytest-runner
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|
|
pip install paddlespeech
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|
|
```
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|
|
|
|
|
### 源码编译
|
|
|
```shell
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|
|
git clone https://github.com/PaddlePaddle/PaddleSpeech.git
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|
|
cd PaddleSpeech
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|
|
pip install pytest-runner
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|
|
pip install .
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|
|
```
|
|
|
|
|
|
更多关于安装问题，如 conda 环境，librosa 依赖的系统库，gcc 环境问题，kaldi 安装等，可以参考这篇[安装文档](docs/source/install_cn.md)，如安装上遇到问题可以在 [#2150](https://github.com/PaddlePaddle/PaddleSpeech/issues/2150) 上留言以及查找相关问题
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|
|
|
<a name="快速开始"></a>
|
|
|
## 快速开始
|
|
|
安装完成后，开发者可以通过命令行或者 Python 快速开始，命令行模式下改变 `--input` 可以尝试用自己的音频或文本测试，支持 16k wav 格式音频。
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|
|
|
|
|
你也可以在 `aistudio` 中快速体验 👉🏻[一键预测，快速上手 Speech 开发任务](https://aistudio.baidu.com/aistudio/projectdetail/4353348?sUid=2470186&shared=1&ts=1660878142250)。
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|
|
|
|
|
测试音频示例下载
|
|
|
```shell
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|
|
wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav
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|
|
wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/en.wav
|
|
|
```
|
|
|
|
|
|
### 语音识别
|
|
|
<details><summary> （点击可展开）开源中文语音识别</summary>
|
|
|
|
|
|
命令行一键体验
|
|
|
|
|
|
```shell
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|
|
paddlespeech asr --lang zh --input zh.wav
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|
|
```
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|
|
|
|
Python API 一键预测
|
|
|
|
|
|
```python
|
|
|
>>> from paddlespeech.cli.asr.infer import ASRExecutor
|
|
|
>>> asr = ASRExecutor()
|
|
|
>>> result = asr(audio_file="zh.wav")
|
|
|
>>> print(result)
|
|
|
我认为跑步最重要的就是给我带来了身体健康
|
|
|
```
|
|
|
</details>
|
|
|
|
|
|
### 语音合成
|
|
|
|
|
|
<details><summary> 开源中文语音合成</summary>
|
|
|
|
|
|
输出 24k 采样率wav格式音频
|
|
|
|
|
|
|
|
|
命令行一键体验
|
|
|
|
|
|
```shell
|
|
|
paddlespeech tts --input "你好，欢迎使用百度飞桨深度学习框架！" --output output.wav
|
|
|
```
|
|
|
|
|
|
Python API 一键预测
|
|
|
|
|
|
```python
|
|
|
>>> from paddlespeech.cli.tts.infer import TTSExecutor
|
|
|
>>> tts = TTSExecutor()
|
|
|
>>> tts(text="今天天气十分不错。", output="output.wav")
|
|
|
```
|
|
|
- 语音合成的 web demo 已经集成进了 [Huggingface Spaces](https://huggingface.co/spaces). 请参考: [TTS Demo](https://huggingface.co/spaces/KPatrick/PaddleSpeechTTS)
|
|
|
|
|
|
</details>
|
|
|
|
|
|
### 声音分类
|
|
|
|
|
|
<details><summary> 适配多场景的开放领域声音分类工具</summary>
|
|
|
|
|
|
基于 AudioSet 数据集 527 个类别的声音分类模型
|
|
|
|
|
|
命令行一键体验
|
|
|
|
|
|
```shell
|
|
|
paddlespeech cls --input zh.wav
|
|
|
```
|
|
|
|
|
|
python API 一键预测
|
|
|
|
|
|
```python
|
|
|
>>> from paddlespeech.cli.cls.infer import CLSExecutor
|
|
|
>>> cls = CLSExecutor()
|
|
|
>>> result = cls(audio_file="zh.wav")
|
|
|
>>> print(result)
|
|
|
Speech 0.9027186632156372
|
|
|
```
|
|
|
|
|
|
</details>
|
|
|
|
|
|
### 声纹提取
|
|
|
|
|
|
<details><summary> 工业级声纹提取工具</summary>
|
|
|
|
|
|
命令行一键体验
|
|
|
|
|
|
```shell
|
|
|
paddlespeech vector --task spk --input zh.wav
|
|
|
```
|
|
|
|
|
|
Python API 一键预测
|
|
|
|
|
|
```python
|
|
|
>>> from paddlespeech.cli.vector import VectorExecutor
|
|
|
>>> vec = VectorExecutor()
|
|
|
>>> result = vec(audio_file="zh.wav")
|
|
|
>>> print(result) # 187维向量
|
|
|
[ -0.19083306 9.474295 -14.122263 -2.0916545 0.04848729
|
|
|
4.9295826 1.4780062 0.3733844 10.695862 3.2697146
|
|
|
-4.48199 -0.6617882 -9.170393 -11.1568775 -1.2358263 ...]
|
|
|
```
|
|
|
|
|
|
</details>
|
|
|
|
|
|
### 标点恢复
|
|
|
|
|
|
<details><summary> 一键恢复文本标点，可与ASR模型配合使用</summary>
|
|
|
|
|
|
命令行一键体验
|
|
|
|
|
|
```shell
|
|
|
paddlespeech text --task punc --input 今天的天气真不错啊你下午有空吗我想约你一起去吃饭
|
|
|
```
|
|
|
|
|
|
Python API 一键预测
|
|
|
|
|
|
```python
|
|
|
>>> from paddlespeech.cli.text.infer import TextExecutor
|
|
|
>>> text_punc = TextExecutor()
|
|
|
>>> result = text_punc(text="今天的天气真不错啊你下午有空吗我想约你一起去吃饭")
|
|
|
今天的天气真不错啊！你下午有空吗？我想约你一起去吃饭。
|
|
|
```
|
|
|
|
|
|
</details>
|
|
|
|
|
|
### 语音翻译
|
|
|
|
|
|
<details><summary> 端到端英译中语音翻译工具</summary>
|
|
|
|
|
|
使用预编译的 kaldi 相关工具，只支持在 Ubuntu 系统中体验
|
|
|
|
|
|
命令行一键体验
|
|
|
|
|
|
```shell
|
|
|
paddlespeech st --input en.wav
|
|
|
```
|
|
|
|
|
|
python API 一键预测
|
|
|
|
|
|
```python
|
|
|
>>> from paddlespeech.cli.st.infer import STExecutor
|
|
|
>>> st = STExecutor()
|
|
|
>>> result = st(audio_file="en.wav")
|
|
|
['我 在 这栋 建筑 的 古老 门上 敲门 。']
|
|
|
```
|
|
|
|
|
|
</details>
|
|
|
|
|
|
|
|
|
<a name="快速使用服务"></a>
|
|
|
## 快速使用服务
|
|
|
安装完成后，开发者可以通过命令行一键启动语音识别，语音合成，音频分类等多种服务。
|
|
|
|
|
|
你可以在 AI Studio 中快速体验：[SpeechServer 一键部署](https://aistudio.baidu.com/aistudio/projectdetail/4354592?sUid=2470186&shared=1&ts=1660878208266)
|
|
|
|
|
|
**启动服务**
|
|
|
```shell
|
|
|
paddlespeech_server start --config_file ./demos/speech_server/conf/application.yaml
|
|
|
```
|
|
|
|
|
|
**访问语音识别服务**
|
|
|
```shell
|
|
|
paddlespeech_client asr --server_ip 127.0.0.1 --port 8090 --input input_16k.wav
|
|
|
```
|
|
|
|
|
|
**访问语音合成服务**
|
|
|
```shell
|
|
|
paddlespeech_client tts --server_ip 127.0.0.1 --port 8090 --input "您好，欢迎使用百度飞桨语音合成服务。" --output output.wav
|
|
|
```
|
|
|
|
|
|
**访问音频分类服务**
|
|
|
```shell
|
|
|
paddlespeech_client cls --server_ip 127.0.0.1 --port 8090 --input input.wav
|
|
|
```
|
|
|
|
|
|
更多服务相关的命令行使用信息，请参考 [demos](https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/demos/speech_server)
|
|
|
|
|
|
<a name="快速使用流式服务"></a>
|
|
|
## 快速使用流式服务
|
|
|
|
|
|
开发者可以尝试 [流式 ASR](./demos/streaming_asr_server/README.md) 和 [流式 TTS](./demos/streaming_tts_server/README.md) 服务.
|
|
|
|
|
|
**启动流式 ASR 服务**
|
|
|
|
|
|
```
|
|
|
paddlespeech_server start --config_file ./demos/streaming_asr_server/conf/application.yaml
|
|
|
```
|
|
|
|
|
|
**访问流式 ASR 服务**
|
|
|
|
|
|
```
|
|
|
paddlespeech_client asr_online --server_ip 127.0.0.1 --port 8090 --input input_16k.wav
|
|
|
```
|
|
|
|
|
|
**启动流式 TTS 服务**
|
|
|
|
|
|
```
|
|
|
paddlespeech_server start --config_file ./demos/streaming_tts_server/conf/tts_online_application.yaml
|
|
|
```
|
|
|
|
|
|
**访问流式 TTS 服务**
|
|
|
|
|
|
```
|
|
|
paddlespeech_client tts_online --server_ip 127.0.0.1 --port 8092 --protocol http --input "您好，欢迎使用百度飞桨语音合成服务。" --output output.wav
|
|
|
```
|
|
|
|
|
|
更多信息参看： [流式 ASR](./demos/streaming_asr_server/README.md) 和 [流式 TTS](./demos/streaming_tts_server/README.md)
|
|
|
|
|
|
<a name="模型列表"></a>
|
|
|
## 模型列表
|
|
|
PaddleSpeech 支持很多主流的模型，并提供了预训练模型，详情请见[模型列表](./docs/source/released_model.md)。
|
|
|
|
|
|
<a name="语音识别模型"></a>
|
|
|
|
|
|
PaddleSpeech 的 **语音转文本** 包含语音识别声学模型、语音识别语言模型和语音翻译, 详情如下：
|
|
|
|
|
|
<table style="width:100%">
|
|
|
<thead>
|
|
|
<tr>
|
|
|
<th>语音转文本模块类型</th>
|
|
|
<th>数据集</th>
|
|
|
<th>模型类型</th>
|
|
|
<th>脚本</th>
|
|
|
</tr>
|
|
|
</thead>
|
|
|
<tbody>
|
|
|
<tr>
|
|
|
<td rowspan="4">语音识别</td>
|
|
|
<td rowspan="2" >Aishell</td>
|
|
|
<td >DeepSpeech2 RNN + Conv based Models</td>
|
|
|
<td>
|
|
|
<a href = "./examples/aishell/asr0">deepspeech2-aishell</a>
|
|
|
</td>
|
|
|
</tr>
|
|
|
<tr>
|
|
|
<td>Transformer based Attention Models </td>
|
|
|
<td>
|
|
|
<a href = "./examples/aishell/asr1">u2.transformer.conformer-aishell</a>
|
|
|
</td>
|
|
|
</tr>
|
|
|
<tr>
|
|
|
<td> Librispeech</td>
|
|
|
<td>Transformer based Attention Models </td>
|
|
|
<td>
|
|
|
<a href = "./examples/librispeech/asr0">deepspeech2-librispeech</a> / <a href = "./examples/librispeech/asr1">transformer.conformer.u2-librispeech</a> / <a href = "./examples/librispeech/asr2">transformer.conformer.u2-kaldi-librispeech</a>
|
|
|
</td>
|
|
|
</td>
|
|
|
</tr>
|
|
|
<tr>
|
|
|
<td>TIMIT</td>
|
|
|
<td>Unified Streaming & Non-streaming Two-pass</td>
|
|
|
<td>
|
|
|
<a href = "./examples/timit/asr1"> u2-timit</a>
|
|
|
</td>
|
|
|
</tr>
|
|
|
<tr>
|
|
|
<td>对齐</td>
|
|
|
<td>THCHS30</td>
|
|
|
<td>MFA</td>
|
|
|
<td>
|
|
|
<a href = ".examples/thchs30/align0">mfa-thchs30</a>
|
|
|
</td>
|
|
|
</tr>
|
|
|
<tr>
|
|
|
<td rowspan="1">语言模型</td>
|
|
|
<td colspan = "2">Ngram 语言模型</td>
|
|
|
<td>
|
|
|
<a href = "./examples/other/ngram_lm">kenlm</a>
|
|
|
</td>
|
|
|
</tr>
|
|
|
<tr>
|
|
|
<td rowspan="2">语音翻译（英译中）</td>
|
|
|
<td rowspan="2">TED En-Zh</td>
|
|
|
<td>Transformer + ASR MTL</td>
|
|
|
<td>
|
|
|
<a href = "./examples/ted_en_zh/st0">transformer-ted</a>
|
|
|
</td>
|
|
|
</tr>
|
|
|
<tr>
|
|
|
<td>FAT + Transformer + ASR MTL</td>
|
|
|
<td>
|
|
|
<a href = "./examples/ted_en_zh/st1">fat-st-ted</a>
|
|
|
</td>
|
|
|
</tr>
|
|
|
</tbody>
|
|
|
</table>
|
|
|
|
|
|
<a name="语音合成模型"></a>
|
|
|
|
|
|
PaddleSpeech 的 **语音合成** 主要包含三个模块：文本前端、声学模型和声码器。声学模型和声码器模型如下：
|
|
|
|
|
|
<table>
|
|
|
<thead>
|
|
|
<tr>
|
|
|
<th> 语音合成模块类型 </th>
|
|
|
<th> 模型类型 </th>
|
|
|
<th> 数据集 </th>
|
|
|
<th> 脚本 </th>
|
|
|
</tr>
|
|
|
</thead>
|
|
|
<tbody>
|
|
|
<tr>
|
|
|
<td> 文本前端</td>
|
|
|
<td colspan="2">   </td>
|
|
|
<td>
|
|
|
<a href = "./examples/other/tn">tn</a> / <a href = "./examples/other/g2p">g2p</a>
|
|
|
</td>
|
|
|
</tr>
|
|
|
<tr>
|
|
|
<td rowspan="5">声学模型</td>
|
|
|
<td>Tacotron2</td>
|
|
|
<td>LJSpeech / CSMSC</td>
|
|
|
<td>
|
|
|
<a href = "./examples/ljspeech/tts0">tacotron2-ljspeech</a> / <a href = "./examples/csmsc/tts0">tacotron2-csmsc</a>
|
|
|
</td>
|
|
|
</tr>
|
|
|
<tr>
|
|
|
<td>Transformer TTS</td>
|
|
|
<td>LJSpeech</td>
|
|
|
<td>
|
|
|
<a href = "./examples/ljspeech/tts1">transformer-ljspeech</a>
|
|
|
</td>
|
|
|
</tr>
|
|
|
<tr>
|
|
|
<td>SpeedySpeech</td>
|
|
|
<td>CSMSC</td>
|
|
|
<td >
|
|
|
<a href = "./examples/csmsc/tts2">speedyspeech-csmsc</a>
|
|
|
</td>
|
|
|
</tr>
|
|
|
<tr>
|
|
|
<td>FastSpeech2</td>
|
|
|
<td>LJSpeech / VCTK / CSMSC / AISHELL-3 / ZH_EN / finetune</td>
|
|
|
<td>
|
|
|
<a href = "./examples/ljspeech/tts3">fastspeech2-ljspeech</a> / <a href = "./examples/vctk/tts3">fastspeech2-vctk</a> / <a href = "./examples/csmsc/tts3">fastspeech2-csmsc</a> / <a href = "./examples/aishell3/tts3">fastspeech2-aishell3</a> / <a href = "./examples/zh_en_tts/tts3">fastspeech2-zh_en</a> / <a href = "./examples/other/tts_finetune/tts3">fastspeech2-finetune</a>
|
|
|
</td>
|
|
|
</tr>
|
|
|
<tr>
|
|
|
<td>ERNIE-SAT</td>
|
|
|
<td>VCTK / AISHELL-3 / ZH_EN</td>
|
|
|
<td>
|
|
|
<a href = "./examples/vctk/ernie_sat">ERNIE-SAT-vctk</a> / <a href = "./examples/aishell3/ernie_sat">ERNIE-SAT-aishell3</a> / <a href = "./examples/aishell3_vctk/ernie_sat">ERNIE-SAT-zh_en</a>
|
|
|
</td>
|
|
|
</tr>
|
|
|
<tr>
|
|
|
<td rowspan="6">声码器</td>
|
|
|
<td >WaveFlow</td>
|
|
|
<td >LJSpeech</td>
|
|
|
<td>
|
|
|
<a href = "./examples/ljspeech/voc0">waveflow-ljspeech</a>
|
|
|
</td>
|
|
|
</tr>
|
|
|
<tr>
|
|
|
<td >Parallel WaveGAN</td>
|
|
|
<td >LJSpeech / VCTK / CSMSC / AISHELL-3</td>
|
|
|
<td>
|
|
|
<a href = "./examples/ljspeech/voc1">PWGAN-ljspeech</a> / <a href = "./examples/vctk/voc1">PWGAN-vctk</a> / <a href = "./examples/csmsc/voc1">PWGAN-csmsc</a> / <a href = "./examples/aishell3/voc1">PWGAN-aishell3</a>
|
|
|
</td>
|
|
|
</tr>
|
|
|
<tr>
|
|
|
<td >Multi Band MelGAN</td>
|
|
|
<td >CSMSC</td>
|
|
|
<td>
|
|
|
<a href = "./examples/csmsc/voc3">Multi Band MelGAN-csmsc</a>
|
|
|
</td>
|
|
|
</tr>
|
|
|
<tr>
|
|
|
<td >Style MelGAN</td>
|
|
|
<td >CSMSC</td>
|
|
|
<td>
|
|
|
<a href = "./examples/csmsc/voc4">Style MelGAN-csmsc</a>
|
|
|
</td>
|
|
|
</tr>
|
|
|
<tr>
|
|
|
<td >HiFiGAN</td>
|
|
|
<td >LJSpeech / VCTK / CSMSC / AISHELL-3</td>
|
|
|
<td>
|
|
|
<a href = "./examples/ljspeech/voc5">HiFiGAN-ljspeech</a> / <a href = "./examples/vctk/voc5">HiFiGAN-vctk</a> / <a href = "./examples/csmsc/voc5">HiFiGAN-csmsc</a> / <a href = "./examples/aishell3/voc5">HiFiGAN-aishell3</a>
|
|
|
</td>
|
|
|
</tr>
|
|
|
<tr>
|
|
|
<td >WaveRNN</td>
|
|
|
<td >CSMSC</td>
|
|
|
<td>
|
|
|
<a href = "./examples/csmsc/voc6">WaveRNN-csmsc</a>
|
|
|
</td>
|
|
|
</tr>
|
|
|
<tr>
|
|
|
<td rowspan="5">声音克隆</td>
|
|
|
<td>GE2E</td>
|
|
|
<td >Librispeech, etc.</td>
|
|
|
<td>
|
|
|
<a href = "./examples/other/ge2e">GE2E</a>
|
|
|
</td>
|
|
|
</tr>
|
|
|
<tr>
|
|
|
<td>SV2TTS (GE2E + Tacotron2)</td>
|
|
|
<td>AISHELL-3</td>
|
|
|
<td>
|
|
|
<a href = "./examples/aishell3/vc0">VC0</a>
|
|
|
</td>
|
|
|
</tr>
|
|
|
<tr>
|
|
|
<td>SV2TTS (GE2E + FastSpeech2)</td>
|
|
|
<td>AISHELL-3</td>
|
|
|
<td>
|
|
|
<a href = "./examples/aishell3/vc1">VC1</a>
|
|
|
</td>
|
|
|
</tr>
|
|
|
<tr>
|
|
|
<td>SV2TTS (ECAPA-TDNN + FastSpeech2)</td>
|
|
|
<td>AISHELL-3</td>
|
|
|
<td>
|
|
|
<a href = "./examples/aishell3/vc2">VC2</a>
|
|
|
</td>
|
|
|
</tr>
|
|
|
<tr>
|
|
|
<td>GE2E + VITS</td>
|
|
|
<td>AISHELL-3</td>
|
|
|
<td>
|
|
|
<a href = "./examples/aishell3/vits-vc">VITS-VC</a>
|
|
|
</td>
|
|
|
</tr>
|
|
|
<tr>
|
|
|
<td rowspan="3">端到端</td>
|
|
|
<td>VITS</td>
|
|
|
<td>CSMSC / AISHELL-3</td>
|
|
|
<td>
|
|
|
<a href = "./examples/csmsc/vits">VITS-csmsc</a> / <a href = "./examples/aishell3/vits">VITS-aishell3</a>
|
|
|
</td>
|
|
|
</tr>
|
|
|
</tbody>
|
|
|
</table>
|
|
|
|
|
|
<a name="声音分类模型"></a>
|
|
|
**声音分类**
|
|
|
|
|
|
<table style="width:100%">
|
|
|
<thead>
|
|
|
<tr>
|
|
|
<th> 任务 </th>
|
|
|
<th> 数据集 </th>
|
|
|
<th> 模型类型 </th>
|
|
|
<th> 脚本</th>
|
|
|
</tr>
|
|
|
</thead>
|
|
|
<tbody>
|
|
|
<tr>
|
|
|
<td>声音分类</td>
|
|
|
<td>ESC-50</td>
|
|
|
<td>PANN</td>
|
|
|
<td>
|
|
|
<a href = "./examples/esc50/cls0">pann-esc50</a>
|
|
|
</td>
|
|
|
</tr>
|
|
|
</tbody>
|
|
|
</table>
|
|
|
|
|
|
|
|
|
<a name="唤醒模型"></a>
|
|
|
|
|
|
**唤醒**
|
|
|
|
|
|
<table style="width:100%">
|
|
|
<thead>
|
|
|
<tr>
|
|
|
<th> 任务 </th>
|
|
|
<th> 数据集 </th>
|
|
|
<th> 模型类型 </th>
|
|
|
<th> 脚本 </th>
|
|
|
</tr>
|
|
|
</thead>
|
|
|
<tbody>
|
|
|
<tr>
|
|
|
<td>唤醒</td>
|
|
|
<td>hey-snips</td>
|
|
|
<td>PANN</td>
|
|
|
<td>
|
|
|
<a href = "./examples/hey_snips/kws0">pann-hey-snips</a>
|
|
|
</td>
|
|
|
</tr>
|
|
|
</tbody>
|
|
|
</table>
|
|
|
|
|
|
<a name="声纹识别模型"></a>
|
|
|
|
|
|
**声纹识别**
|
|
|
|
|
|
<table style="width:100%">
|
|
|
<thead>
|
|
|
<tr>
|
|
|
<th> 任务 </th>
|
|
|
<th> 数据集 </th>
|
|
|
<th> 模型类型 </th>
|
|
|
<th> 脚本 </th>
|
|
|
</tr>
|
|
|
</thead>
|
|
|
<tbody>
|
|
|
<tr>
|
|
|
<td>声纹识别</td>
|
|
|
<td>VoxCeleb1/2</td>
|
|
|
<td>ECAPA-TDNN</td>
|
|
|
<td>
|
|
|
<a href = "./examples/voxceleb/sv0">ecapa-tdnn-voxceleb12</a>
|
|
|
</td>
|
|
|
</tr>
|
|
|
</tbody>
|
|
|
</table>
|
|
|
|
|
|
<a name="说话人日志模型"></a>
|
|
|
|
|
|
**说话人日志**
|
|
|
|
|
|
<table style="width:100%">
|
|
|
<thead>
|
|
|
<tr>
|
|
|
<th> 任务 </th>
|
|
|
<th> 数据集 </th>
|
|
|
<th> 模型类型 </th>
|
|
|
<th> 脚本 </th>
|
|
|
</tr>
|
|
|
</thead>
|
|
|
<tbody>
|
|
|
<tr>
|
|
|
<td>说话人日志</td>
|
|
|
<td>AMI</td>
|
|
|
<td>ECAPA-TDNN + AHC / SC</td>
|
|
|
<td>
|
|
|
<a href = "./examples/ami/sd0">ecapa-tdnn-ami</a>
|
|
|
</td>
|
|
|
</tr>
|
|
|
</tbody>
|
|
|
</table>
|
|
|
|
|
|
<a name="标点恢复模型"></a>
|
|
|
|
|
|
**标点恢复**
|
|
|
|
|
|
<table style="width:100%">
|
|
|
<thead>
|
|
|
<tr>
|
|
|
<th> 任务 </th>
|
|
|
<th> 数据集 </th>
|
|
|
<th> 模型类型 </th>
|
|
|
<th> 脚本 </th>
|
|
|
</tr>
|
|
|
</thead>
|
|
|
<tbody>
|
|
|
<tr>
|
|
|
<td>标点恢复</td>
|
|
|
<td>IWLST2012_zh</td>
|
|
|
<td>Ernie Linear</td>
|
|
|
<td>
|
|
|
<a href = "./examples/iwslt2012/punc0">iwslt2012-punc0</a>
|
|
|
</td>
|
|
|
</tr>
|
|
|
</tbody>
|
|
|
</table>
|
|
|
|
|
|
<a name="教程文档"></a>
|
|
|
## 教程文档
|
|
|
|
|
|
对于 PaddleSpeech 的所关注的任务，以下指南有助于帮助开发者快速入门，了解语音相关核心思想。
|
|
|
|
|
|
- [下载安装](./docs/source/install_cn.md)
|
|
|
- [快速开始](#快速开始)
|
|
|
- Notebook基础教程
|
|
|
- [声音分类](./docs/tutorial/cls/cls_tutorial.ipynb)
|
|
|
- [语音识别](./docs/tutorial/asr/tutorial_transformer.ipynb)
|
|
|
- [语音翻译](./docs/tutorial/st/st_tutorial.ipynb)
|
|
|
- [声音合成](./docs/tutorial/tts/tts_tutorial.ipynb)
|
|
|
- [示例Demo](./demos/README.md)
|
|
|
- 进阶文档
|
|
|
- [语音识别自定义训练](./docs/source/asr/quick_start.md)
|
|
|
- [简介](./docs/source/asr/models_introduction.md)
|
|
|
- [数据准备](./docs/source/asr/data_preparation.md)
|
|
|
- [Ngram 语言模型](./docs/source/asr/ngram_lm.md)
|
|
|
- [语音合成自定义训练](./docs/source/tts/quick_start.md)
|
|
|
- [简介](./docs/source/tts/models_introduction.md)
|
|
|
- [进阶用法](./docs/source/tts/advanced_usage.md)
|
|
|
- [中文文本前端](./docs/source/tts/zh_text_frontend.md)
|
|
|
- [测试语音样本](https://paddlespeech.readthedocs.io/en/latest/tts/demo.html)
|
|
|
- 声纹识别
|
|
|
- [声纹识别](./demos/speaker_verification/README_cn.md)
|
|
|
- [音频检索](./demos/audio_searching/README_cn.md)
|
|
|
- [声音分类](./demos/audio_tagging/README_cn.md)
|
|
|
- [语音翻译](./demos/speech_translation/README_cn.md)
|
|
|
- [服务化部署](./demos/speech_server/README_cn.md)
|
|
|
- [模型列表](#模型列表)
|
|
|
- [语音识别](#语音识别模型)
|
|
|
- [语音合成](#语音合成模型)
|
|
|
- [声音分类](#声音分类模型)
|
|
|
- [声纹识别](#声纹识别模型)
|
|
|
- [说话人日志](#说话人日志模型)
|
|
|
- [标点恢复](#标点恢复模型)
|
|
|
- [技术交流群](#技术交流群)
|
|
|
- [欢迎贡献](#欢迎贡献)
|
|
|
- [License](#License)
|
|
|
|
|
|
|
|
|
语音合成模块最初被称为 [Parakeet](https://github.com/PaddlePaddle/Parakeet)，现在与此仓库合并。如果您对该任务的学术研究感兴趣，请参阅 [TTS 研究概述](https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/docs/source/tts#overview)。此外，[模型介绍](https://github.com/PaddlePaddle/PaddleSpeech/blob/develop/docs/source/tts/models_introduction.md) 是了解语音合成流程的一个很好的指南。
|
|
|
|
|
|
|
|
|
## ⭐ 应用案例
|
|
|
- **[PaddleBoBo](https://github.com/JiehangXie/PaddleBoBo): 使用 PaddleSpeech 的语音合成模块生成虚拟人的声音。**
|
|
|
|
|
|
<div align="center"><a href="https://www.bilibili.com/video/BV1cL411V71o?share_source=copy_web"><img src="https://ai-studio-static-online.cdn.bcebos.com/06fd746ab32042f398fb6f33f873e6869e846fe63c214596ae37860fe8103720" / width="500px"></a></div>
|
|
|
|
|
|
- [PaddleSpeech 示例视频](https://paddlespeech.readthedocs.io/en/latest/demo_video.html)
|
|
|
|
|
|
|
|
|
- **[VTuberTalk](https://github.com/jerryuhoo/VTuberTalk): 使用 PaddleSpeech 的语音合成和语音识别从视频中克隆人声。**
|
|
|
|
|
|
<div align="center">
|
|
|
<img src="https://raw.githubusercontent.com/jerryuhoo/VTuberTalk/main/gui/gui.png" width = "500px" />
|
|
|
</div>
|
|
|
|
|
|
|
|
|
## 引用
|
|
|
|
|
|
要引用 PaddleSpeech 进行研究，请使用以下格式进行引用。
|
|
|
```text
|
|
|
@InProceedings{pmlr-v162-bai22d,
|
|
|
title = {{A}$^3${T}: Alignment-Aware Acoustic and Text Pretraining for Speech Synthesis and Editing},
|
|
|
author = {Bai, He and Zheng, Renjie and Chen, Junkun and Ma, Mingbo and Li, Xintong and Huang, Liang},
|
|
|
booktitle = {Proceedings of the 39th International Conference on Machine Learning},
|
|
|
pages = {1399--1411},
|
|
|
year = {2022},
|
|
|
volume = {162},
|
|
|
series = {Proceedings of Machine Learning Research},
|
|
|
month = {17--23 Jul},
|
|
|
publisher = {PMLR},
|
|
|
pdf = {https://proceedings.mlr.press/v162/bai22d/bai22d.pdf},
|
|
|
url = {https://proceedings.mlr.press/v162/bai22d.html},
|
|
|
}
|
|
|
|
|
|
@inproceedings{zhang2022paddlespeech,
|
|
|
title = {PaddleSpeech: An Easy-to-Use All-in-One Speech Toolkit},
|
|
|
author = {Hui Zhang, Tian Yuan, Junkun Chen, Xintong Li, Renjie Zheng, Yuxin Huang, Xiaojie Chen, Enlei Gong, Zeyu Chen, Xiaoguang Hu, dianhai yu, Yanjun Ma, Liang Huang},
|
|
|
booktitle = {Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstrations},
|
|
|
year = {2022},
|
|
|
publisher = {Association for Computational Linguistics},
|
|
|
}
|
|
|
|
|
|
@inproceedings{zheng2021fused,
|
|
|
title={Fused acoustic and text encoding for multimodal bilingual pretraining and speech translation},
|
|
|
author={Zheng, Renjie and Chen, Junkun and Ma, Mingbo and Huang, Liang},
|
|
|
booktitle={International Conference on Machine Learning},
|
|
|
pages={12736--12746},
|
|
|
year={2021},
|
|
|
organization={PMLR}
|
|
|
}
|
|
|
```
|
|
|
|
|
|
<a name="欢迎贡献"></a>
|
|
|
## 参与 PaddleSpeech 的开发
|
|
|
|
|
|
热烈欢迎您在 [Discussions](https://github.com/PaddlePaddle/PaddleSpeech/discussions) 中提交问题，并在 [Issues](https://github.com/PaddlePaddle/PaddleSpeech/issues) 中指出发现的 bug。此外，我们非常希望您参与到 PaddleSpeech 的开发中！
|
|
|
|
|
|
### 贡献者
|
|
|
<p align="center">
|
|
|
<a href="https://github.com/zh794390558"><img src="https://avatars.githubusercontent.com/u/3038472?s=60&v=4" width=75 height=75></a>
|
|
|
<a href="https://github.com/Jackwaterveg"><img src="https://avatars.githubusercontent.com/u/87408988?s=60&v=4" width=75 height=75></a>
|
|
|
<a href="https://github.com/yt605155624"><img src="https://avatars.githubusercontent.com/u/24568452?s=60&v=4" width=75 height=75></a>
|
|
|
<a href="https://github.com/Honei"><img src="https://avatars.githubusercontent.com/u/11361692?s=60&v=4" width=75 height=75></a>
|
|
|
<a href="https://github.com/KPatr1ck"><img src="https://avatars.githubusercontent.com/u/22954146?s=60&v=4" width=75 height=75></a>
|
|
|
<a href="https://github.com/kuke"><img src="https://avatars.githubusercontent.com/u/3064195?s=60&v=4" width=75 height=75></a>
|
|
|
<a href="https://github.com/lym0302"><img src="https://avatars.githubusercontent.com/u/34430015?s=60&v=4" width=75 height=75></a>
|
|
|
<a href="https://github.com/SmileGoat"><img src="https://avatars.githubusercontent.com/u/56786796?s=60&v=4" width=75 height=75></a>
|
|
|
<a href="https://github.com/xinghai-sun"><img src="https://avatars.githubusercontent.com/u/7038341?s=60&v=4" width=75 height=75></a>
|
|
|
<a href="https://github.com/pkuyym"><img src="https://avatars.githubusercontent.com/u/5782283?s=60&v=4" width=75 height=75></a>
|
|
|
<a href="https://github.com/LittleChenCc"><img src="https://avatars.githubusercontent.com/u/10339970?s=60&v=4" width=75 height=75></a>
|
|
|
<a href="https://github.com/qingen"><img src="https://avatars.githubusercontent.com/u/3139179?s=60&v=4" width=75 height=75></a>
|
|
|
<a href="https://github.com/D-DanielYang"><img src="https://avatars.githubusercontent.com/u/23690325?s=60&v=4" width=75 height=75></a>
|
|
|
<a href="https://github.com/Mingxue-Xu"><img src="https://avatars.githubusercontent.com/u/92848346?s=60&v=4" width=75 height=75></a>
|
|
|
<a href="https://github.com/745165806"><img src="https://avatars.githubusercontent.com/u/20623194?s=60&v=4" width=75 height=75></a>
|
|
|
<a href="https://github.com/jerryuhoo"><img src="https://avatars.githubusercontent.com/u/24245709?s=60&v=4" width=75 height=75></a>
|
|
|
<a href="https://github.com/WilliamZhang06"><img src="https://avatars.githubusercontent.com/u/97937340?s=60&v=4" width=75 height=75></a>
|
|
|
<a href="https://github.com/chrisxu2016"><img src="https://avatars.githubusercontent.com/u/18379485?s=60&v=4" width=75 height=75></a>
|
|
|
<a href="https://github.com/iftaken"><img src="https://avatars.githubusercontent.com/u/30135920?s=60&v=4" width=75 height=75></a>
|
|
|
<a href="https://github.com/lfchener"><img src="https://avatars.githubusercontent.com/u/6771821?s=60&v=4" width=75 height=75></a>
|
|
|
<a href="https://github.com/BarryKCL"><img src="https://avatars.githubusercontent.com/u/48039828?s=60&v=4" width=75 height=75></a>
|
|
|
<a href="https://github.com/mmglove"><img src="https://avatars.githubusercontent.com/u/38800877?s=60&v=4" width=75 height=75></a>
|
|
|
<a href="https://github.com/gongel"><img src="https://avatars.githubusercontent.com/u/24390500?s=60&v=4" width=75 height=75></a>
|
|
|
<a href="https://github.com/luotao1"><img src="https://avatars.githubusercontent.com/u/6836917?s=60&v=4" width=75 height=75></a>
|
|
|
<a href="https://github.com/wanghaoshuang"><img src="https://avatars.githubusercontent.com/u/7534971?s=60&v=4" width=75 height=75></a>
|
|
|
<a href="https://github.com/kslz"><img src="https://avatars.githubusercontent.com/u/54951765?s=60&v=4" width=75 height=75></a>
|
|
|
<a href="https://github.com/JiehangXie"><img src="https://avatars.githubusercontent.com/u/51190264?s=60&v=4" width=75 height=75></a>
|
|
|
<a href="https://github.com/david-95"><img src="https://avatars.githubusercontent.com/u/15189190?s=60&v=4" width=75 height=75></a>
|
|
|
<a href="https://github.com/THUzyt21"><img src="https://avatars.githubusercontent.com/u/91456992?s=60&v=4" width=75 height=75></a>
|
|
|
<a href="https://github.com/buchongyu2"><img src="https://avatars.githubusercontent.com/u/29157444?s=60&v=4" width=75 height=75></a>
|
|
|
<a href="https://github.com/iclementine"><img src="https://avatars.githubusercontent.com/u/16222986?s=60&v=4" width=75 height=75></a>
|
|
|
<a href="https://github.com/phecda-xu"><img src="https://avatars.githubusercontent.com/u/46859427?s=60&v=4" width=75 height=75></a>
|
|
|
<a href="https://github.com/freeliuzc"><img src="https://avatars.githubusercontent.com/u/23568094?s=60&v=4" width=75 height=75></a>
|
|
|
<a href="https://github.com/ZeyuChen"><img src="https://avatars.githubusercontent.com/u/1371212?s=60&v=4" width=75 height=75></a>
|
|
|
<a href="https://github.com/ccrrong"><img src="https://avatars.githubusercontent.com/u/101700995?s=60&v=4" width=75 height=75></a>
|
|
|
<a href="https://github.com/AK391"><img src="https://avatars.githubusercontent.com/u/81195143?s=60&v=4" width=75 height=75></a>
|
|
|
<a href="https://github.com/qingqing01"><img src="https://avatars.githubusercontent.com/u/7845005?s=60&v=4" width=75 height=75></a>
|
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<a href="https://github.com/0x45f"><img src="https://avatars.githubusercontent.com/u/23097963?s=60&v=4" width=75 height=75></a>
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<a href="https://github.com/vpegasus"><img src="https://avatars.githubusercontent.com/u/22723154?s=60&v=4" width=75 height=75></a>
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<a href="https://github.com/ericxk"><img src="https://avatars.githubusercontent.com/u/4719594?s=60&v=4" width=75 height=75></a>
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<a href="https://github.com/Betterman-qs"><img src="https://avatars.githubusercontent.com/u/61459181?s=60&v=4" width=75 height=75></a>
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<a href="https://github.com/sneaxiy"><img src="https://avatars.githubusercontent.com/u/32832641?s=60&v=4" width=75 height=75></a>
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<a href="https://github.com/Doubledongli"><img src="https://avatars.githubusercontent.com/u/20540661?s=60&v=4" width=75 height=75></a>
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<a href="https://github.com/apps/dependabot"><img src="https://avatars.githubusercontent.com/in/29110?s=60&v=4" width=75 height=75></a>
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<a href="https://github.com/kvinwang"><img src="https://avatars.githubusercontent.com/u/6442159?s=60&v=4" width=75 height=75></a>
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<a href="https://github.com/chenkui164"><img src="https://avatars.githubusercontent.com/u/34813030?s=60&v=4" width=75 height=75></a>
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<a href="https://github.com/PaddleZhang"><img src="https://avatars.githubusercontent.com/u/97284124?s=60&v=4" width=75 height=75></a>
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<a href="https://github.com/billishyahao"><img src="https://avatars.githubusercontent.com/u/96406262?s=60&v=4" width=75 height=75></a>
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<a href="https://github.com/BrightXiaoHan"><img src="https://avatars.githubusercontent.com/u/25839309?s=60&v=4" width=75 height=75></a>
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<a href="https://github.com/jiqiren11"><img src="https://avatars.githubusercontent.com/u/82639260?s=60&v=4" width=75 height=75></a>
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<a href="https://github.com/ryanrussell"><img src="https://avatars.githubusercontent.com/u/523300?s=60&v=4" width=75 height=75></a>
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<a href="https://github.com/GT-ZhangAcer"><img src="https://avatars.githubusercontent.com/u/46156734?s=60&v=4" width=75 height=75></a>
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<a href="https://github.com/tensor-tang"><img src="https://avatars.githubusercontent.com/u/21351065?s=60&v=4" width=75 height=75></a>
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<a href="https://github.com/hysunflower"><img src="https://avatars.githubusercontent.com/u/52739577?s=60&v=4" width=75 height=75></a>
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<a href="https://github.com/oyjxer"><img src="https://avatars.githubusercontent.com/u/16233945?s=60&v=4" width=75 height=75></a>
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<a href="https://github.com/JamesLim-sy"><img src="https://avatars.githubusercontent.com/u/61349199?s=60&v=4" width=75 height=75></a>
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<a href="https://github.com/limpidezza"><img src="https://avatars.githubusercontent.com/u/71760778?s=60&v=4" width=75 height=75></a>
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<a href="https://github.com/windstamp"><img src="https://avatars.githubusercontent.com/u/34057289?s=60&v=4" width=75 height=75></a>
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<a href="https://github.com/AshishKarel"><img src="https://avatars.githubusercontent.com/u/58069375?s=60&v=4" width=75 height=75></a>
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<a href="https://github.com/chesterkuo"><img src="https://avatars.githubusercontent.com/u/6285069?s=60&v=4" width=75 height=75></a>
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<a href="https://github.com/YDX-2147483647"><img src="https://avatars.githubusercontent.com/u/73375426?s=60&v=4" width=75 height=75></a>
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<a href="https://github.com/AdamBear"><img src="https://avatars.githubusercontent.com/u/2288870?s=60&v=4" width=75 height=75></a>
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<a href="https://github.com/wwhu"><img src="https://avatars.githubusercontent.com/u/6081200?s=60&v=4" width=75 height=75></a>
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<a href="https://github.com/lispc"><img src="https://avatars.githubusercontent.com/u/2833376?s=60&v=4" width=75 height=75></a>
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<a href="https://github.com/harisankarh"><img src="https://avatars.githubusercontent.com/u/1307053?s=60&v=4" width=75 height=75></a>
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<a href="https://github.com/pengzhendong"><img src="https://avatars.githubusercontent.com/u/10704539?s=60&v=4" width=75 height=75></a>
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<a href="https://github.com/Jackiexiao"><img src="https://avatars.githubusercontent.com/u/18050469?s=60&v=4" width=75 height=75></a>
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</p>
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## 致谢
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- 非常感谢 [HighCWu](https://github.com/HighCWu) 新增 [VITS-aishell3](./examples/aishell3/vits) 和 [VITS-VC](./examples/aishell3/vits-vc) 代码示例。
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- 非常感谢 [david-95](https://github.com/david-95) 修复 TTS 句尾多标点符号出错的问题，贡献补充多条程序和数据。为 TTS 中文文本前端新增 [SSML](https://github.com/PaddlePaddle/PaddleSpeech/discussions/2538) 功能。
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- 非常感谢 [BarryKCL](https://github.com/BarryKCL) 基于 [G2PW](https://github.com/GitYCC/g2pW) 对 TTS 中文文本前端的优化。
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- 非常感谢 [yeyupiaoling](https://github.com/yeyupiaoling)/[PPASR](https://github.com/yeyupiaoling/PPASR)/[PaddlePaddle-DeepSpeech](https://github.com/yeyupiaoling/PaddlePaddle-DeepSpeech)/[VoiceprintRecognition-PaddlePaddle](https://github.com/yeyupiaoling/VoiceprintRecognition-PaddlePaddle)/[AudioClassification-PaddlePaddle](https://github.com/yeyupiaoling/AudioClassification-PaddlePaddle) 多年来的关注和建议，以及在诸多问题上的帮助。
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- 非常感谢 [mymagicpower](https://github.com/mymagicpower) 采用PaddleSpeech 对 ASR 的[短语音](https://github.com/mymagicpower/AIAS/tree/main/3_audio_sdks/asr_sdk)及[长语音](https://github.com/mymagicpower/AIAS/tree/main/3_audio_sdks/asr_long_audio_sdk)进行 Java 实现。
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- 非常感谢 [JiehangXie](https://github.com/JiehangXie)/[PaddleBoBo](https://github.com/JiehangXie/PaddleBoBo) 采用 PaddleSpeech 语音合成功能实现 Virtual Uploader(VUP)/Virtual YouTuber(VTuber) 虚拟主播。
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- 非常感谢 [745165806](https://github.com/745165806)/[PaddleSpeechTask](https://github.com/745165806/PaddleSpeechTask) 贡献标点重建相关模型。
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- 非常感谢 [kslz](https://github.com/kslz) 补充中文文档。
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- 非常感谢 [awmmmm](https://github.com/awmmmm) 提供 fastspeech2 aishell3 conformer 预训练模型。
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- 非常感谢 [phecda-xu](https://github.com/phecda-xu)/[PaddleDubbing](https://github.com/phecda-xu/PaddleDubbing) 基于 PaddleSpeech 的 TTS 模型搭建带 GUI 操作界面的配音工具。
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- 非常感谢 [jerryuhoo](https://github.com/jerryuhoo)/[VTuberTalk](https://github.com/jerryuhoo/VTuberTalk) 基于 PaddleSpeech 的 TTS GUI 界面和基于 ASR 制作数据集的相关代码。
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- 非常感谢 [vpegasus](https://github.com/vpegasus)/[xuesebot](https://github.com/vpegasus/xuesebot) 基于 PaddleSpeech 的 ASR 与 TTS 设计的可听、说对话机器人。
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- 非常感谢 [chenkui164](https://github.com/chenkui164)/[FastASR](https://github.com/chenkui164/FastASR) 对 PaddleSpeech 的 ASR 进行 C++ 推理实现。
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此外，PaddleSpeech 依赖于许多开源存储库。有关更多信息，请参阅 [references](./docs/source/reference.md)。
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## License
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PaddleSpeech 在 [Apache-2.0 许可](./LICENSE) 下提供。
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