diff --git a/README.md b/README.md index fd33c30..79602f8 100644 --- a/README.md +++ b/README.md @@ -1,7 +1,11 @@ # A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统 -ReadMe Language [中文版](https://github.com/nl8590687/ASRT_SpeechRecognition/blob/master/README.md) [English](https://github.com/nl8590687/ASRT_SpeechRecognition/blob/master/README_EN.md) +[![GPL-3.0 Licensed](https://img.shields.io/badge/License-GPL3.0-blue.svg?style=flat)](https://opensource.org/licenses/GPL-3.0) + +ReadMe Language 中文版 [English](https://github.com/nl8590687/ASRT_SpeechRecognition/blob/master/README_EN.md) + +[查看本项目的Wiki页面](https://github.com/nl8590687/ASRT_SpeechRecognition/wiki) (正在完善中) ## Introduction 简介 @@ -9,8 +13,6 @@ ReadMe Language [中文版](https://github.com/nl8590687/ASRT_SpeechRecognition/ This project uses Keras, TensorFlow based on deep convolutional neural network and long-short memory neural network, attention mechanism and CTC to implement. -[查看本项目的Wiki页面](https://github.com/nl8590687/ASRT_SpeechRecognition/wiki) (正在完善中) - 本项目目前已经可以正常进行训练了。 通过git克隆仓库以后,需要将datalist目录下的文件全部拷贝到dataset目录下,也就是将其跟数据集放在一起。 @@ -18,7 +20,7 @@ This project uses Keras, TensorFlow based on deep convolutional neural network a $ cp -rf datalist/* dataset/ ``` -目前可用的模型有22、24和25 +目前可用的模型有24、25和251 本项目开始训练请执行: ```shell @@ -49,7 +51,7 @@ CNN + LSTM/GRU + CTC * 关于下载已经训练好的模型的问题 -可以在Github本仓库下release里面的查看发布的各个版本软件的压缩包里获得完整源程序。 +可以在Github本仓库下[releases](https://github.com/nl8590687/ASRT_SpeechRecognition/releases)里面的查看发布的各个版本软件的压缩包里获得完整源程序。 ### Language Model 语言模型 @@ -117,4 +119,6 @@ ST-CMDS-20170001_1-OS.tar.gz ## Contributors 贡献者们 @ZJUGuoShuai @williamchenwl -@nl8590687 (repo owner) \ No newline at end of file +@nl8590687 (repo owner) + +[打赏作者](https://github.com/nl8590687/ASRT_SpeechRecognition/wiki/donate) \ No newline at end of file diff --git a/README_EN.md b/README_EN.md index b5067b9..f6583a7 100644 --- a/README_EN.md +++ b/README_EN.md @@ -1,13 +1,15 @@ # A Deep-Learning-Based Chinese Speech Recognition System -ReadMe Language [中文版](https://github.com/nl8590687/ASRT_SpeechRecognition/blob/master/README.md) [English](https://github.com/nl8590687/ASRT_SpeechRecognition/blob/master/README_EN.md) +[![GPL-3.0 Licensed](https://img.shields.io/badge/License-GPL3.0-blue.svg?style=flat)](https://opensource.org/licenses/GPL-3.0) + +ReadMe Language [中文版](https://github.com/nl8590687/ASRT_SpeechRecognition/blob/master/README.md) English + +[View this project's wiki page](https://github.com/nl8590687/ASRT_SpeechRecognition/wiki) (In progress..) ## Introduction This project uses Keras, TensorFlow based on deep convolutional neural network and long-short memory neural network, attention mechanism and CTC to implement. -[View this project's wiki page](https://github.com/nl8590687/ASRT_SpeechRecognition/wiki) (In progress..) - The project can now be properly trained. After cloning a repository through git, you need to copy all the files in the datalist directory to the dataset directory, that is, put them together with the data set. @@ -16,7 +18,7 @@ After cloning a repository through git, you need to copy all the files in the da $ cp -rf datalist/* dataset/ ``` -Currently available models are 22, 24 and 25 +Currently available models are 24, 25 and 251 To start training this project, please execute: ```shell @@ -47,7 +49,7 @@ CNN + LSTM/GRU + CTC * Questions about downloading trained models -The complete source program can be obtained from the archives of the various versions of the software released in the release page of Github. +The complete source program can be obtained from the archives of the various versions of the software released in the [releases](https://github.com/nl8590687/ASRT_SpeechRecognition/releases) page of Github. ### Language Model @@ -109,4 +111,6 @@ Links: [Progress Logs](https://github.com/nl8590687/ASRT_SpeechRecognition/blob/ ## Contributors @ZJUGuoShuai @williamchenwl -@nl8590687 (repo owner) \ No newline at end of file +@nl8590687 (repo owner) + +[Donate](https://github.com/nl8590687/ASRT_SpeechRecognition/wiki/donate) \ No newline at end of file