Merge pull request #983 from alibaba-damo-academy/dev_lyh

hnluo

2023-09-27 4854d398708594a13e3043daf1a19adfde970ea2

Merge pull request #983 from alibaba-damo-academy/dev_lyh

Dev lyh

 docs/m2met2/Dataset.md

@@ -21,4 +21,6 @@
The three dataset for training mentioned above can be downloaded at [OpenSLR](https://openslr.org/resources.php). The participants can download via the following links. Particularly, in the baseline we provide convenient data preparation scripts for AliMeeting corpus.
- [AliMeeting](https://openslr.org/119/)
- [AISHELL-4](https://openslr.org/111/)
- [CN-Celeb](https://openslr.org/82/)
- [CN-Celeb](https://openslr.org/82/)

Now, the new test set is available [here](https://speech-lab-share-data.oss-cn-shanghai.aliyuncs.com/AliMeeting/openlr/Test_2023_Ali.tar.gz)

 docs/m2met2/index.rst

@@ -9,6 +9,7 @@
To advance the current state-of-the-art in multi-talker automatic speech recognition, the M2MeT2.0 challenge proposes a speaker-attributed ASR task, comprising two sub-tracks: fixed and open training conditions.
To facilitate reproducible research, we provide a comprehensive overview of the dataset, challenge rules, evaluation metrics, and baseline systems. 

Now the new test set contains about 10 hours audio is available. You can download from `here <https://speech-lab-share-data.oss-cn-shanghai.aliyuncs.com/AliMeeting/openlr/Test_2023_Ali.tar.gz>`_

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