Summary on the Multimodal Information Based Speech Processing (MISP) 2022 Challenge
Author:
Affiliation:
1. University of Science and Technology of China,China
2. Georgia Institute of Technology,USA
3. Northwestern Polytechnical University,China
4. Carnegie Mellon University,USA
5. Delft University of Technology,The Netherlands
6. iFlytek,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10433931.pdf?arnumber=10433931
Reference8 articles.
1. The First Multimodal Information Based Speech Processing (Misp) Challenge: Data, Tasks, Baselines And Results
2. Audio-Visual Speech Recognition in MISP2021 Challenge: Dataset Release and Deep Analysis
3. The Multimodal Information Based Speech Processing (Misp) 2022 Challenge: Audio-Visual Diarization And Recognition
4. The WHU-Alibaba Audio-Visual Speaker Diarization System for the MISP 2022 Challenge
5. Multi-Speaker End-to-End Multi-Modal Speaker Diarization System for the MISP 2022 Challenge
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