From 9d2f783ff6c75b9f6925e674f09237067d508318 Mon Sep 17 00:00:00 2001 From: 游雁 <zhifu.gzf@alibaba-inc.com> Date: 星期一, 17 四月 2023 14:33:53 +0800 Subject: [PATCH] docs --- README.md | 7 ++++++- 1 files changed, 6 insertions(+), 1 deletions(-) diff --git a/README.md b/README.md index af38341..11aa88f 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,11 @@ [//]: # (<div align="left"><img src="docs/images/funasr_logo.jpg" width="400"/></div>) # FunASR: A Fundamental End-to-End Speech Recognition Toolkit +<p align="left"> + <a href=""><img src="https://img.shields.io/badge/OS-Linux%2C%20Win%2C%20Mac-brightgreen.svg"></a> + <a href=""><img src="https://img.shields.io/badge/Python->=3.7,<=3.10-aff.svg"></a> + <a href=""><img src="https://img.shields.io/badge/Pytorch-%3E%3D1.11-blue"></a> +</p> <strong>FunASR</strong> hopes to build a bridge between academic research and industrial applications on speech recognition. By supporting the training & finetuning of the industrial-grade speech recognition model released on [ModelScope](https://www.modelscope.cn/models?page=1&tasks=auto-speech-recognition), researchers and developers can conduct research and production of speech recognition models more conveniently, and promote the development of speech recognition ecology. ASR for Fun锛� @@ -20,7 +25,7 @@ For the release notes, please ref to [news](https://github.com/alibaba-damo-academy/FunASR/releases) ## Highlights -- Many types of typical models are supported, e.g., [Tranformer](https://arxiv.org/abs/1706.03762), [Conformer](https://arxiv.org/abs/2005.08100), [Paraformer](https://arxiv.org/abs/2206.08317). +- FunASR supports speech recognition(ASR), Multi-talker ASR, Voice Activity Detection(VAD), Punctuation Restoration, Language Models, Speaker Verification and Speaker diarization. - We have released large number of academic and industrial pretrained models on [ModelScope](https://www.modelscope.cn/models?page=1&tasks=auto-speech-recognition) - The pretrained model [Paraformer-large](https://www.modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/summary) obtains the best performance on many tasks in [SpeechIO leaderboard](https://github.com/SpeechColab/Leaderboard) - FunASR supplies a easy-to-use pipeline to finetune pretrained models from [ModelScope](https://www.modelscope.cn/models?page=1&tasks=auto-speech-recognition) -- Gitblit v1.9.1