From 7e0652f8d5701e5952a1c81770de4e06e0019f9b Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期四, 27 四月 2023 10:30:13 +0800
Subject: [PATCH] websocket
---
README.md | 27 ++++++++++++++-------------
1 files changed, 14 insertions(+), 13 deletions(-)
diff --git a/README.md b/README.md
index 03156f3..48b5ccd 100644
--- a/README.md
+++ b/README.md
@@ -12,13 +12,13 @@
[**News**](https://github.com/alibaba-damo-academy/FunASR#whats-new)
| [**Highlights**](#highlights)
| [**Installation**](#installation)
-| [**Docs_EN**](https://alibaba-damo-academy.github.io/FunASR/en/index.html)
+| [**Docs**](https://alibaba-damo-academy.github.io/FunASR/en/index.html)
| [**Tutorial**](https://github.com/alibaba-damo-academy/FunASR/wiki#funasr%E7%94%A8%E6%88%B7%E6%89%8B%E5%86%8C)
| [**Papers**](https://github.com/alibaba-damo-academy/FunASR#citations)
| [**Runtime**](https://github.com/alibaba-damo-academy/FunASR/tree/main/funasr/runtime)
| [**Model Zoo**](https://github.com/alibaba-damo-academy/FunASR/blob/main/docs/modelscope_models.md)
| [**Contact**](#contact)
-
+|
[**M2MET2.0 Guidence_CN**](https://alibaba-damo-academy.github.io/FunASR/m2met2_cn/index.html)
| [**M2MET2.0 Guidence_EN**](https://alibaba-damo-academy.github.io/FunASR/m2met2/index.html)
@@ -62,7 +62,7 @@
# pip install -U modelscope -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html -i https://mirror.sjtu.edu.cn/pypi/web/simple
```
-For more details, please ref to [installation](https://github.com/alibaba-damo-academy/FunASR/wiki)
+For more details, please ref to [installation](https://alibaba-damo-academy.github.io/FunASR/en/installation.html)
[//]: # ()
[//]: # (## Usage)
@@ -81,15 +81,17 @@
## Contributors
-| <div align="left"><img src="docs/images/damo.png" width="180"/> | <div align="left"><img src="docs/images/nwpu.png" width="260"/> | <img src="docs/images/DeepScience.png" width="200"/> </div> |
-|:---------------------------------------------------------------:|:---------------------------------------------------------------:|:-----------------------------------------------------------:|
+| <div align="left"><img src="docs/images/damo.png" width="180"/> | <div align="left"><img src="docs/images/nwpu.png" width="260"/> | <img src="docs/images/China_Telecom.png" width="200"/> </div> | <img src="docs/images/RapidAI.png" width="200"/> </div> | <img src="docs/images/DeepScience.png" width="200"/> </div> |
+|:---------------------------------------------------------------:|:---------------------------------------------------------------:|:--------------------------------------------------------------:|:-------------------------------------------------------:|:-----------------------------------------------------------:|
## Acknowledge
1. We borrowed a lot of code from [Kaldi](http://kaldi-asr.org/) for data preparation.
2. We borrowed a lot of code from [ESPnet](https://github.com/espnet/espnet). FunASR follows up the training and finetuning pipelines of ESPnet.
3. We referred [Wenet](https://github.com/wenet-e2e/wenet) for building dataloader for large scale data training.
-4. We acknowledge [DeepScience](https://www.deepscience.cn) for contributing the grpc service.
+4. We acknowledge [ChinaTelecom](https://github.com/zhuzizyf/damo-fsmn-vad-infer-httpserver) for contributing the VAD runtime.
+5. We acknowledge [RapidAI](https://github.com/RapidAI) for contributing the Paraformer and CT_Transformer-punc runtime.
+6. We acknowledge [DeepScience](https://www.deepscience.cn) for contributing the grpc service.
## License
This project is licensed under the [The MIT License](https://opensource.org/licenses/MIT). FunASR also contains various third-party components and some code modified from other repos under other open source licenses.
@@ -97,19 +99,18 @@
## Citations
``` bibtex
-@inproceedings{gao2020universal,
- 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={2020}
-}
-
@inproceedings{gao2022paraformer,
title={Paraformer: Fast and Accurate Parallel Transformer for Non-autoregressive End-to-End Speech Recognition},
author={Gao, Zhifu and Zhang, Shiliang and McLoughlin, Ian and Yan, Zhijie},
booktitle={INTERSPEECH},
year={2022}
}
+@inproceedings{gao2020universal,
+ 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={2020}
+}
@inproceedings{Shi2023AchievingTP,
title={Achieving Timestamp Prediction While Recognizing with Non-Autoregressive End-to-End ASR Model},
author={Xian Shi and Yanni Chen and Shiliang Zhang and Zhijie Yan},
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