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([简体中文](./PPASR_cn.md)|English)
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# PP-ASR
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## Catalogue
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- [1. Introduction](#1)
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- [2. Characteristic](#2)
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- [3. Tutorials](#3)
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- [3.1 Pre-trained Models](#31)
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- [3.2 Training](#32)
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- [3.3 Inference](#33)
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- [3.4 Service Deployment](#33)
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- [3.5 Customized Auto Speech Recognition and Deployment](#33)
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- [4. Quick Start](#4)
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<a name="1"></a>
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## 1. Introduction
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PP-ASR is a tool to provide ASR(Automatic speech recognition) function. It provides a variety of Chinese and English models and supports model training. It also supports model inference using the command line. In addition, PP-ASR supports the deployment of streaming models and customized ASR.
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<a name="2"></a>
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## 2. Characteristic
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The basic process of ASR is shown in the figure below:
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<center><img src=https://user-images.githubusercontent.com/87408988/168259962-cbe2008b-47b6-443d-9566-d77a5ca2eb25.png width="800" ></center>
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The main characteristics of PP-ASR are shown below:
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- Provides pre-trained models on Chinese/English open source datasets: aishell(Chinese), wenetspeech(Chinese) and librispeech(English). The models include deepspeech2 and conformer/transformer.
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- Support model training on Chinese/English datasets.
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- Support model inference using the command line. You can use to use `paddlespeech asr --model xxx --input xxx.wav` to use the pre-trained model to do model inference.
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- Support deployment of streaming ASR server. Besides ASR function, the server supports timestamp function.
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- Support customized auto speech recognition and deployment.
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<a name="3"></a>
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## 3. Tutorials
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<a name="31"></a>
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## 3.1 Pre-trained Models
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The support pre-trained model list: [released_model](https://github.com/PaddlePaddle/PaddleSpeech/blob/develop/docs/source/released_model.md).
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The model with good effect are Ds2 Online Wenetspeech ASR0 Model and Conformer Online Wenetspeech ASR1 Model. Both two models support streaming ASR.
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For more information about model design, you can refer to the aistudio tutorial:
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- [Deepspeech2](https://aistudio.baidu.com/aistudio/projectdetail/3866807)
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- [Transformer](https://aistudio.baidu.com/aistudio/projectdetail/3470110)
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<a name="32"></a>
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## 3.2 Training
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The referenced script for model training is stored in [examples](https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/examples) and stored according to "examples/dataset/model". The dataset mainly supports aishell and librispeech. The model supports deepspeech2 and u2(conformer/transformer).
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The specific steps of executing the script are recorded in `run.sh`.
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For more information, you can refer to [asr1](https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/examples/aishell/asr1)
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<a name="33"></a>
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## 3.3 Inference
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PP-ASR supports use `paddlespeech asr --model xxx --input xxx.wav` to use the pre-trained model to do model inference after install `paddlespeech` by `pip install paddlespeech`.
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Specific supported functions include:
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- Prediction of single audio
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- Use the pipe to predict multiple audio
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- Support RTF calculation
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For specific usage, please refer to: [speech_recognition](https://github.com/PaddlePaddle/PaddleSpeech/blob/develop/demos/speech_recognition/README_cn.md)
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<a name="34"></a>
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## 3.4 Service Deployment
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PP-ASR supports the service deployment of streaming ASR. Support the simultaneous use of speech recognition and punctuation processing.
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Demo of ASR Server: [streaming_asr_server](https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/demos/streaming_asr_server)
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Display of using ASR server on Web page: [streaming_asr_demo_video](https://paddlespeech.readthedocs.io/en/latest/streaming_asr_demo_video.html)
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For more information about service deployment, you can refer to the aistudio tutorial:
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- [Streaming service - model part](https://aistudio.baidu.com/aistudio/projectdetail/3839884)
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- [Streaming service](https://aistudio.baidu.com/aistudio/projectdetail/4017905)
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<a name="35"></a>
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## 3.5 Customized Auto Speech Recognition and Deployment
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For customized auto speech recognition and deployment, PP-ASR provides feature extraction(fbank) => Inference model（Scoring Library）=> C++ program of TLG（WFST, token, lexion, grammer). For specific usage, please refer to: [speechx](https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/speechx)
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If you want to quickly use it, you can refer to [custom_streaming_asr](https://github.com/PaddlePaddle/PaddleSpeech/blob/develop/demos/custom_streaming_asr/README_cn.md)
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For more information about customized auto speech recognition and deployment, you can refer to the aistudio tutorial:
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- [Customized Auto Speech Recognition](https://aistudio.baidu.com/aistudio/projectdetail/4021561)
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<a name="4"></a>
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## 4. Quick Start
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To use PP-ASR, you can see here [install](https://github.com/PaddlePaddle/PaddleSpeech/blob/develop/docs/source/install_cn.md), It supplies three methods to install `paddlespeech`, which are **Easy**, **Medium** and **Hard**. If you want to experience the inference function of paddlespeech, you can use **Easy** installation method.
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Hui Zhang
3 years ago
committed by
GitHub