From 682204f0bb1335eb9ba3a2f0eb5605bdf42e8505 Mon Sep 17 00:00:00 2001
From: jmwang66 <wangjiaming.wjm@alibaba-inc.com>
Date: 星期一, 26 十二月 2022 16:56:27 +0800
Subject: [PATCH] update github.io page
---
README.md | 22 +++++++++++++++++-----
1 files changed, 17 insertions(+), 5 deletions(-)
diff --git a/README.md b/README.md
index 795a130..6dd38b2 100644
--- a/README.md
+++ b/README.md
@@ -1,8 +1,14 @@
-<div align="left"><img src="image/funasr_logo.jpg" width="400"/></div>
+<div align="left"><img src="docs/images/funasr_logo.jpg" width="400"/></div>
# FunASR: A Fundamental End-to-End Speech Recognition Toolkit
<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�
+
+## Highlights
+- FunASR supports many types of models, such as, Tranformer, Conformer, [Paraformer](https://arxiv.org/abs/2206.08317).
+- A large number of ASR models trained on academic datasets or industrial datasets are open sourced 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 first place on many task in [SpeechIO leaderboard](https://github.com/SpeechColab/Leaderboard)
+- FunASR supports large-scale dataset dataloader and multi-GPU training.
## Installation(Training and Developing)
@@ -27,18 +33,24 @@
| 10.2 | conda install pytorch==1.8.0 torchvision==0.9.0 torchaudio==0.8.0 cudatoolkit=10.2 -c pytorch |
| 11.1 | conda install pytorch==1.8.0 torchvision==0.9.0 torchaudio==0.8.0 cudatoolkit=11.1 -c pytorch |
-For more versions, please see https://pytorch.org/get-started/locally/
+For more versions, please see [https://pytorch.org/get-started/locally](https://pytorch.org/get-started/locally)
- Install ModelScope:
``` sh
pip install "modelscope[audio]" -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html
```
-- Install other packages:
+For more details about modelscope, please see [modelscope installation](https://modelscope.cn/docs/%E7%8E%AF%E5%A2%83%E5%AE%89%E8%A3%85)
+
+- Install FunASR and other packages:
``` sh
pip install --editable ./
```
+
+## Pretrained model hub
+
+We have trained many academic and industrial models, [model hub](docs/modelscope_models.md)
## Contact
@@ -47,7 +59,7 @@
- email: [funasr@list.alibaba-inc.com](funasr@list.alibaba-inc.com)
- Dingding group:
-<div align="left"><img src="image/dingding.jpg" width="400"/></div>
+<div align="left"><img src="docs/images/dingding.jpg" width="400"/></div>
## Acknowledge
@@ -66,7 +78,7 @@
title={Universal ASR: Unifying Streaming and Non-Streaming ASR Using a Single Encoder-Decoder Model},
author={Gao, Zhifu and Zhang, Shiliang and Lei, Ming and McLoughlin, Ian},
booktitle={arXiv preprint arXiv:2010.14099},
- year={2010}
+ year={2020}
}
@inproceedings{gao2022paraformer,
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