(简体中文|[English](./README.md))
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< a href = "#quick-start" > 快速开始 < / a >
| < a href = "#documents" > 教程 < / a >
| < a href = "#model-list" > 模型列表 < / a >
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**PaddleSpeech** 是基于飞桨 [PaddlePaddle ](https://github.com/PaddlePaddle/Paddle ) 深度学习开源框架平台上的一个开源模型库，用于语音和音频中的各种关键任务的开发，包含大量前沿和有影响力的模型，一些典型的应用示例如下：
##### 语音识别
< div align = "center" >
< table style = "width:100%" >
< thead >
< tr >
< th > 输入音频 < / th >
< th width = "550" > 识别结果 < / th >
< / tr >
< / thead >
< tbody >
< tr >
< td align = "center" >
< a href = "https://paddlespeech.bj.bcebos.com/PaddleAudio/en.wav" rel = "nofollow" >
< img align = "center" src = "./docs/images/audio_icon.png" width = "200 style=" max-width: 100 % ; " > < / a > < br >
< / td >
< td > I knocked at the door on the ancient side of the building.< / td >
< / tr >
< tr >
< td align = "center" >
< a href = "https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav" rel = "nofollow" >
< img align = "center" src = "./docs/images/audio_icon.png" width = "200" style = "max-width: 100%;" > < / a > < br >
< / td >
< td > 我认为跑步最重要的就是给我带来了身体健康。< / td >
< / tr >
< / tbody >
< / table >
< / div >
##### 语音翻译 (英译中)
< div align = "center" >
< table style = "width:100%" >
< thead >
< tr >
< th > 输入音频 < / th >
< th width = "550" > 翻译结果 < / th >
< / tr >
< / thead >
< tbody >
< tr >
< td align = "center" >
< a href = "https://paddlespeech.bj.bcebos.com/PaddleAudio/en.wav" rel = "nofollow" >
< img align = "center" src = "./docs/images/audio_icon.png" width = "200 style=" max-width: 100 % ; " > < / a > < br >
< / td >
< td > 我 在 这栋 建筑 的 古老 门上 敲门。< / td >
< / tr >
< / tbody >
< / table >
< / div >
##### 文本转语音
< div align = "center" >
< table style = "width:100%" >
< thead >
< tr >
< th > < img width = "200" height = "1" > 输入文本 < img width = "200" height = "1" > < / th >
< th > 合成音频< / th >
< / tr >
< / thead >
< tbody >
< tr >
< td > Life was like a box of chocolates, you never know what you're gonna get.< / td >
< td align = "center" >
< a href = "https://paddlespeech.bj.bcebos.com/Parakeet/docs/demos/transformer_tts_ljspeech_ckpt_0.4_waveflow_ljspeech_ckpt_0.3/001.wav" rel = "nofollow" >
< img align = "center" src = "./docs/images/audio_icon.png" width = "200" style = "max-width: 100%;" > < / a > < br >
< / td >
< / tr >
< tr >
< td > 早上好， ， < / td >
< td align = "center" >
< a href = "https://paddlespeech.bj.bcebos.com/Parakeet/docs/demos/parakeet_espnet_fs2_pwg_demo/tn_g2p/parakeet/001.wav" rel = "nofollow" >
< img align = "center" src = "./docs/images/audio_icon.png" width = "200" style = "max-width: 100%;" > < / a > < br >
< / td >
< / tr >
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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 )。
### 特性:
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
- 📦 ** 易用性**: 安装门槛低，可使用[CLI](#quick-start)快速开始。
- 🏆 ** 对标 SoTA**: 提供了高速、轻量级模型，且借鉴了最前沿的技术。
- 💯 ** 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（ ） ，
- **多种工业界以及学术界主流功能支持**:
- 🛎️ 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、语音合成等任务的实现。
- 🔬 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， 模型列表 ](#model-list )。
- 🧩 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。
### 近期更新:
<!-- -
2021.12.14: We would like to have an online courses to introduce basics and research of speech, as well as code practice with `paddlespeech` . Please pay attention to our [Calendar ](https://www.paddlepaddle.org.cn/live ).
--->
- 🤗 2021.12.14: 我们在 Hugging Face Spaces 上的 [ASR ](https://huggingface.co/spaces/KPatrick/PaddleSpeechASR ) 以及 [TTS ](https://huggingface.co/spaces/akhaliq/paddlespeech ) Demos 上线啦!
- 👏🏻 2021.12.10: PaddleSpeech CLI 上线！覆盖了声音分类、语音识别、语音翻译（英译中）以及语音合成。
### 交流
欢迎加入以下微信群，直接和 PaddleSpeech 团队成员进行交流！
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## 安装
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。这种情况下安装 `paddlespeech` 只需要一条 `pip` 命令:
```python
pip install paddlepaddle paddlespeech
```
目前为止，对于 **Mac OSX、 LiNUX** 支持声音分类、语音识别、语音合成和语音翻译四种功能，**Windows** 下暂不支持语音翻译功能。 想了解更多安装细节，可以参考[安装文档](./docs/source/install_cn.md)。
## 快速开始
安装完成后，开发者可以通过命令行快速开始，改变 `--input` 可以尝试用自己的音频或文本测试。
**声音分类**
```shell
paddlespeech cls --input input.wav
```
**语音识别**
```shell
paddlespeech asr --lang zh --input input_16k.wav
```
**语音翻译** (English to Chinese)
```shell
paddlespeech st --input input_16k.wav
```
**语音合成**
```shell
paddlespeech tts --input "你好，欢迎使用百度飞桨深度学习框架！" --output output.wav
```
> Note: 如果需要训练或者微调，请查看[语音识别](./docs/source/asr/quick_start.md)，
## 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)。
PaddleSpeech 的**语音转文本** 包含声学模型、语言模型和语音翻译, 详情如下：
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The current hyperlinks redirect to [Previous Parakeet ](https://github.com/PaddlePaddle/Parakeet/tree/develop/examples ).
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< table style = "width:100%" >
< thead >
< tr >
< th > 语音转文本模块种类< / th >
< th > 数据集< / th >
< th > 模型种类< / th >
< th > 链接< / th >
< / tr >
< / thead >
< tbody >
< tr >
< td rowspan = "3" > 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 > 基于Transformer的Attention模型 < / td >
< td >
< a href = "./examples/aishell/asr1" > u2.transformer.conformer-aishell< / a >
< / td >
< / tr >
< tr >
< td > Librispeech< / td >
< td > 基于Transformer的Attention模型 < / 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 > 对齐< / td >
< td > THCHS30< / td >
< td > MFA< / td >
< td >
< a href = ".examples/thchs30/align0" > mfa-thchs30< / a >
< / td >
< / tr >
< tr >
< td rowspan = "2" > 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 > TIMIT< / td >
< td > Unified Streaming & Non-streaming Two-pass< / td >
< td >
< a href = "./examples/timit/asr1" > u2-timit< / 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 >
PaddleSpeech 中的 ** 文本转语音** 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 > 文字转语音模块类型 < img width = "110" height = "1" > < / th >
< th > 模型种类 < / th >
< th > < img width = "50" height = "1" > 数据集 < img width = "50" height = "1" > < / th >
< th > < img width = "101" height = "1" > 链接 < img width = "105" height = "1" > < / 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 = "4" > 声学模型< / td >
< td > Tacotron2< / td >
< td rowspan = "2" > LJSpeech< / td >
< td >
< a href = "./examples/ljspeech/tts0" > tacotron2-ljspeech< / a >
< / td >
< / tr >
< tr >
< td > Transformer TTS< / 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 > AISHELL-3 / VCTK / LJSpeech / CSMSC< / td >
< td >
< a href = "./examples/aishell3/tts3" > fastspeech2-aishell3< / a > / < a href = "./examples/vctk/tts3" > fastspeech2-vctk< / a > / < a href = "./examples/ljspeech/tts3" > fastspeech2-ljspeech< / a > / < a href = "./examples/csmsc/tts3" > fastspeech2-csmsc< / a >
< / td >
< / tr >
< tr >
< td rowspan = "3" > Vocoder< / 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< / 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 >
< / 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 rowspan = "3" > Voice Cloning< / td >
< td > GE2E< / td >
< td > Librispeech, etc.< / td >
< td >
< a href = "./examples/other/ge2e" > ge2e< / a >
< / td >
< / tr >
< tr >
< td > GE2E + Tactron2< / td >
< td > AISHELL-3< / td >
< td >
< a href = "./examples/aishell3/vc0" > ge2e-tactron2-aishell3< / a >
< / td >
< / tr >
< tr >
< td > GE2E + FastSpeech2< / td >
< td > AISHELL-3< / td >
< td >
< a href = "./examples/aishell3/vc1" > ge2e-fastspeech2-aishell3< / a >
< / td >
< / tr >
< / tbody >
< / table >
**声音分类**
< table style = "width:100%" >
< thead >
< tr >
< th > < img width = "150" height = "1" > 任务 < img width = "150" height = "1" > < / th >
< th > < img width = "110" height = "1" > 数据集 < img width = "110" height = "1" > < / th >
< th > 模型种类 < / th >
< th > 链接< / th >
< / tr >
< / thead >
< tbody >
< tr >
< td > Audio Classification< / td >
< td > ESC-50< / td >
< td > PANN< / td >
< td >
< a href = "./examples/esc50/cls0" > pann-esc50< / a >
< / td >
< / tr >
< / tbody >
< / table >
## 文档
[语音 SoTA ](https://paperswithcode.com/area/speech )、[声音 SoTA](https://paperswithcode.com/area/audio)、[音乐 SoTA](https://paperswithcode.com/area/music) 概述了相关领域的热门学术话题。对于 PaddleSpeech 的所关注的任务，以下指南有助于掌握核心思想。
- [安装 ](./docs/source/install.md )
- 教程
- [语音识别 ](./docs/source/asr/quick_start.md )
- [简介 ](./docs/source/asr/models_introduction.md )
- [数据准备 ](./docs/source/asr/data_preparation.md )
- [数据增强 ](./docs/source/asr/augmentation.md )
- [Ngram 语言模型 ](./docs/source/asr/ngram_lm.md )
- [语音合成 ](./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 )
- [音频示例 ](https://paddlespeech.readthedocs.io/en/latest/tts/demo.html )
- 声音分类
- 语音翻译
- [模型 ](./docs/source/released_model.md )
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。
## 引用
要引用 PaddleSpeech 进行研究，请使用以下格式进行引用。
```tex
@misc {ppspeech2021,
title={PaddleSpeech, a toolkit for audio processing based on PaddlePaddle.},
author={PaddlePaddle Authors},
howpublished = {\url{https://github.com/PaddlePaddle/PaddleSpeech}},
year={2021}
}
```
## 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，
### 贡献者
< p align = "center" >
< a href = "https://github.com/zh794390558" > < img src = "https://avatars.githubusercontent.com/u/3038472?v=4" width = 75 height = 75 > < / a >
< a href = "https://github.com/Jackwaterveg" > < img src = "https://avatars.githubusercontent.com/u/87408988?v=4" width = 75 height = 75 > < / a >
< a href = "https://github.com/yt605155624" > < img src = "https://avatars.githubusercontent.com/u/24568452?v=4" width = 75 height = 75 > < / a >
< a href = "https://github.com/kuke" > < img src = "https://avatars.githubusercontent.com/u/3064195?v=4" width = 75 height = 75 > < / a >
< a href = "https://github.com/xinghai-sun" > < img src = "https://avatars.githubusercontent.com/u/7038341?v=4" width = 75 height = 75 > < / a >
< a href = "https://github.com/pkuyym" > < img src = "https://avatars.githubusercontent.com/u/5782283?v=4" width = 75 height = 75 > < / a >
< a href = "https://github.com/KPatr1ck" > < img src = "https://avatars.githubusercontent.com/u/22954146?v=4" width = 75 height = 75 > < / a >
< a href = "https://github.com/LittleChenCc" > < img src = "https://avatars.githubusercontent.com/u/10339970?v=4" width = 75 height = 75 > < / a >
< a href = "https://github.com/745165806" > < img src = "https://avatars.githubusercontent.com/u/20623194?v=4" width = 75 height = 75 > < / a >
< a href = "https://github.com/Mingxue-Xu" > < img src = "https://avatars.githubusercontent.com/u/92848346?v=4" width = 75 height = 75 > < / a >
< a href = "https://github.com/chrisxu2016" > < img src = "https://avatars.githubusercontent.com/u/18379485?v=4" width = 75 height = 75 > < / a >
< a href = "https://github.com/lfchener" > < img src = "https://avatars.githubusercontent.com/u/6771821?v=4" width = 75 height = 75 > < / a >
< a href = "https://github.com/luotao1" > < img src = "https://avatars.githubusercontent.com/u/6836917?v=4" width = 75 height = 75 > < / a >
< a href = "https://github.com/wanghaoshuang" > < img src = "https://avatars.githubusercontent.com/u/7534971?v=4" width = 75 height = 75 > < / a >
< a href = "https://github.com/gongel" > < img src = "https://avatars.githubusercontent.com/u/24390500?v=4" width = 75 height = 75 > < / a >
< a href = "https://github.com/mmglove" > < img src = "https://avatars.githubusercontent.com/u/38800877?v=4" width = 75 height = 75 > < / a >
< a href = "https://github.com/iclementine" > < img src = "https://avatars.githubusercontent.com/u/16222986?v=4" width = 75 height = 75 > < / a >
< a href = "https://github.com/ZeyuChen" > < img src = "https://avatars.githubusercontent.com/u/1371212?v=4" width = 75 height = 75 > < / a >
< a href = "https://github.com/AK391" > < img src = "https://avatars.githubusercontent.com/u/81195143?v=4" width = 75 height = 75 > < / a >
< a href = "https://github.com/qingqing01" > < img src = "https://avatars.githubusercontent.com/u/7845005?v=4" width = 75 height = 75 > < / a >
< a href = "https://github.com/ericxk" > < img src = "https://avatars.githubusercontent.com/u/4719594?v=4" width = 75 height = 75 > < / a >
< a href = "https://github.com/kvinwang" > < img src = "https://avatars.githubusercontent.com/u/6442159?v=4" width = 75 height = 75 > < / a >
< a href = "https://github.com/jiqiren11" > < img src = "https://avatars.githubusercontent.com/u/82639260?v=4" width = 75 height = 75 > < / a >
< a href = "https://github.com/AshishKarel" > < img src = "https://avatars.githubusercontent.com/u/58069375?v=4" width = 75 height = 75 > < / a >
< a href = "https://github.com/chesterkuo" > < img src = "https://avatars.githubusercontent.com/u/6285069?v=4" width = 75 height = 75 > < / a >
< a href = "https://github.com/tensor-tang" > < img src = "https://avatars.githubusercontent.com/u/21351065?v=4" width = 75 height = 75 > < / a >
< a href = "https://github.com/hysunflower" > < img src = "https://avatars.githubusercontent.com/u/52739577?v=4" width = 75 height = 75 > < / a >
< a href = "https://github.com/wwhu" > < img src = "https://avatars.githubusercontent.com/u/6081200?v=4" width = 75 height = 75 > < / a >
< a href = "https://github.com/lispc" > < img src = "https://avatars.githubusercontent.com/u/2833376?v=4" width = 75 height = 75 > < / a >
< a href = "https://github.com/jerryuhoo" > < img src = "https://avatars.githubusercontent.com/u/24245709?v=4" width = 75 height = 75 > < / a >
< a href = "https://github.com/harisankarh" > < img src = "https://avatars.githubusercontent.com/u/1307053?v=4" width = 75 height = 75 > < / a >
< a href = "https://github.com/Jackiexiao" > < img src = "https://avatars.githubusercontent.com/u/18050469?v=4" width = 75 height = 75 > < / a >
< a href = "https://github.com/limpidezza" > < img src = "https://avatars.githubusercontent.com/u/71760778?v=4" width = 75 height = 75 > < / a >
< / p >
## 致谢
- 非常感谢 [yeyupiaoling ](https://github.com/yeyupiaoling ) 多年来的关注和建议，以及在诸多问题上的帮助。
- 非常感谢 [AK391 ](https://github.com/AK391 ) 在 Huggingface Spaces 上使用 Gradio 对我们的语音合成功能进行网页版演示。
此外， references ](./docs/source/reference.md )。
## License
PaddleSpeech 在 [Apache-2.0 许可 ](./LICENSE ) 下提供。
