update url and contact

docs/m2met2/Baseline.md

@@ -5,7 +5,7 @@ We will release an E2E SA-ASR baseline conducted on [FunASR](https://github.com/
 ![model archietecture](images/sa_asr_arch.png)
 
 ## Quick start
-To run the baseline, first you need to install FunASR and ModelScope. ([installation](https://alibaba-damo-academy.github.io/FunASR/en/installation.html))  
+To run the baseline, first you need to install FunASR and ModelScope. ([installation](https://github.com/alibaba-damo-academy/FunASR#installation))  
 There are two startup scripts, `run.sh` for training and evaluating on the old eval and test sets, and `run_m2met_2023_infer.sh` for inference on the new test set of the Multi-Channel Multi-Party Meeting Transcription 2.0 ([M2MeT2.0](https://alibaba-damo-academy.github.io/FunASR/m2met2/index.html)) Challenge.  
 Before running `run.sh`, you must manually download and unpack the [AliMeeting](http://www.openslr.org/119/) corpus and place it in the `./dataset` directory:
 ```shell

docs/m2met2_cn/_build/html/_sources/简介.md.txt

@@ -26,7 +26,7 @@ IASSP2022 M2MeT挑战的侧重点是会议场景，它包括两个赛道：说
 
 ## 竞赛报名
 
-来自学术界和工业界的有意向参赛者均应在2023年5月22日及之前填写下方的谷歌表单。同时欢迎广大参赛者加入[官方交流微信群](https://alibaba-damo-academy.github.io/FunASR/m2met2_cn/%E8%81%94%E7%B3%BB%E6%96%B9%E5%BC%8F.html)交流并及时获取竞赛最新消息：
+来自学术界和工业界的有意向参赛者均应在2023年5月22日及之前填写下方的谷歌表单，如果无法访问可以通过邮件（m2met.alimeeting@gmail.com）报名，邮件需要包含参赛队名，队员，所属机构以及参加赛道等信息。同时欢迎广大参赛者加入[官方交流微信群](https://alibaba-damo-academy.github.io/FunASR/m2met2_cn/%E8%81%94%E7%B3%BB%E6%96%B9%E5%BC%8F.html)交流并及时获取竞赛最新消息：
 
 [M2MeT2.0报名](https://docs.google.com/forms/d/e/1FAIpQLSf77T9vAl7Ym-u5g8gXu18SBofoWRaFShBo26Ym0-HDxHW9PQ/viewform?usp=sf_link)
 

docs/m2met2_cn/_build/html/简介.html

@@ -151,7 +151,7 @@
 </section>
 <section id="id3">
 <h2>竞赛报名<a class="headerlink" href="#id3" title="此标题的永久链接">¶</a></h2>
-<p>来自学术界和工业界的有意向参赛者均应在2023年5月22日及之前填写下方的谷歌表单。同时欢迎广大参赛者加入<a class="reference external" href="https://alibaba-damo-academy.github.io/FunASR/m2met2_cn/%E8%81%94%E7%B3%BB%E6%96%B9%E5%BC%8F.html">官方交流微信群</a>交流并及时获取竞赛最新消息：</p>
+<p>来自学术界和工业界的有意向参赛者均应在2023年5月22日及之前填写下方的谷歌表单，如果无法访问可以通过邮件（m2met.alimeeting&#64;gmail.com）报名，邮件需要包含参赛队名，队员，所属机构以及参加赛道等信息。同时欢迎广大参赛者加入<a class="reference external" href="https://alibaba-damo-academy.github.io/FunASR/m2met2_cn/%E8%81%94%E7%B3%BB%E6%96%B9%E5%BC%8F.html">官方交流微信群</a>交流并及时获取竞赛最新消息：</p>
 <p><a class="reference external" href="https://docs.google.com/forms/d/e/1FAIpQLSf77T9vAl7Ym-u5g8gXu18SBofoWRaFShBo26Ym0-HDxHW9PQ/viewform?usp=sf_link">M2MeT2.0报名</a></p>
 <p>主办方将在3个工作日内通过电子邮件通知符合条件的参赛团队，团队必须遵守将在挑战网站上发布的挑战规则。在排名发布之前，每个参赛者必须提交一份系统描述文件，详细说明使用的方法和模型。主办方将排名前列的队伍纳入ASRU2023论文集。</p>
 </section>

docs/m2met2_cn/基线.md

@@ -5,7 +5,7 @@
 ![model archietecture](images/sa_asr_arch.png)
 
 ## 快速开始
-首先需要安装FunASR和ModelScope. ([installation](https://alibaba-damo-academy.github.io/FunASR/en/installation.html))  
+首先需要安装FunASR和ModelScope. ([installation](https://github.com/alibaba-damo-academy/FunASR#installation))  
 基线系统有训练和测试两个脚本,`run.sh`是用于训练基线系统并在M2MeT的验证与测试集上评估的，而`run_m2met_2023_infer.sh`用于此次竞赛预备开放的全新测试集上测试同时生成符合竞赛最终提交格式的文件。
 在运行 `run.sh`前，需要自行下载并解压[AliMeeting](http://www.openslr.org/119/)数据集并放置于`./dataset`目录下：
 ```shell

docs/m2met2_cn/简介.md

@@ -26,7 +26,7 @@ IASSP2022 M2MeT挑战的侧重点是会议场景，它包括两个赛道：说
 
 ## 竞赛报名
 
-来自学术界和工业界的有意向参赛者均应在2023年5月22日及之前填写下方的谷歌表单。同时欢迎广大参赛者加入[官方交流微信群](https://alibaba-damo-academy.github.io/FunASR/m2met2_cn/%E8%81%94%E7%B3%BB%E6%96%B9%E5%BC%8F.html)交流并及时获取竞赛最新消息：
+来自学术界和工业界的有意向参赛者均应在2023年5月22日及之前填写下方的谷歌表单，如果无法访问可以通过邮件（m2met.alimeeting@gmail.com）报名，邮件需要包含参赛队名，队员，所属机构以及参加赛道等信息。同时欢迎广大参赛者加入[官方交流微信群](https://alibaba-damo-academy.github.io/FunASR/m2met2_cn/%E8%81%94%E7%B3%BB%E6%96%B9%E5%BC%8F.html)交流并及时获取竞赛最新消息：
 
 [M2MeT2.0报名](https://docs.google.com/forms/d/e/1FAIpQLSf77T9vAl7Ym-u5g8gXu18SBofoWRaFShBo26Ym0-HDxHW9PQ/viewform?usp=sf_link)
 

egs/alimeeting/sa-asr/README.md

@@ -1,6 +1,6 @@
 # Get Started
 Speaker Attributed Automatic Speech Recognition (SA-ASR) is a task proposed to solve "who spoke what". Specifically, the goal of SA-ASR is not only to obtain multi-speaker transcriptions, but also to identify the corresponding speaker for each utterance. The method used in this example is referenced in the paper: [End-to-End Speaker-Attributed ASR with Transformer](https://www.isca-speech.org/archive/pdfs/interspeech_2021/kanda21b_interspeech.pdf).  
-To run this receipe, first you need to install FunASR and ModelScope. ([installation](https://alibaba-damo-academy.github.io/FunASR/en/installation.html))  
+To run this receipe, first you need to install FunASR and ModelScope. ([installation](https://github.com/alibaba-damo-academy/FunASR#installation))  
 There are two startup scripts, `run.sh` for training and evaluating on the old eval and test sets, and `run_m2met_2023_infer.sh` for inference on the new test set of the Multi-Channel Multi-Party Meeting Transcription 2.0 ([M2MeT2.0](https://alibaba-damo-academy.github.io/FunASR/m2met2/index.html)) Challenge.  
 Before running `run.sh`, you must manually download and unpack the [AliMeeting](http://www.openslr.org/119/) corpus and place it in the `./dataset` directory:
 ```shell