| | |
|---|
| | | ================================================================================== |
|---|
| | | Building on the success of the M2MeT challenge, we are delighted to propose the M2MeT2.0 challenge as a special session at ASRU2023. |
|---|
| | | 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. |
|---|
| | | 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>`_ |
|---|
| | | |
|---|
| | | .. toctree:: |
|---|
| | | :maxdepth: 1 |
|---|
| | |
|---|
| | | ./Challenge_result |
|---|
| | | ./Organizers |
|---|
| | | ./Contact |
|---|
| | | |
|---|
