Merge pull request #492 from alibaba-damo-academy/dev_smohan

yhliang

2023-05-11 d2dc3af1a69ee4075bcfc0c83dc0fb8e3fc1db4e

 egs/alimeeting/sa-asr/README.md

@@ -1,7 +1,7 @@
# 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))  
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.  
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
dataset
@@ -65,17 +65,17 @@
   </tr>
    <tr>
       <td>oracle profile</td>
        <td>31.93</td>
        <td>32.75</td>
       <td>48.56</td>
        <td>53.33</td>
        <td>32.05</td>
        <td>32.70</td>
       <td>47.40</td>
        <td>52.57</td>
   </tr>
    <tr>
       <td>cluster profile</td>
        <td>31.94</td>
        <td>32.77</td>
       <td>55.49</td>
        <td>58.17</td>
        <td>32.05</td>
        <td>32.70</td>
       <td>53.76</td>
        <td>55.95</td>
   </tr>
</table>