The Royalflush System of Speech Recognition for M2met Challenge
Author:
Affiliation:
1. Hithink RoyalFlush AI Research Institute,Zhejiang,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9745891/9746004/09746246.pdf?arnumber=9746246
Reference36 articles.
1. U2++: Unified two-pass bidirectional end-to-end model for speech recognition;wu,2021
2. Acoustic Beamforming for Speaker Diarization of Meetings
3. A Causal U-Net Based Neural Beamforming Network for Real-Time Multi-Channel Speech Enhancement
4. ESPnet: End-to-End Speech Processing Toolkit
5. Summary on the ICASSP 2022 Multi-Channel Multi-Party Meeting Transcription Grand Challenge
Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. A Comparative Study on Multichannel Speaker-Attributed Automatic Speech Recognition in Multi-party Meetings;2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC);2023-10-31
2. Vararray Meets T-Sot: Advancing the State of the Art of Streaming Distant Conversational Speech Recognition;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04
3. MFCCA:Multi-Frame Cross-Channel Attention for Multi-Speaker ASR in Multi-Party Meeting Scenario;2022 IEEE Spoken Language Technology Workshop (SLT);2023-01-09
4. Summary on the ICASSP 2022 Multi-Channel Multi-Party Meeting Transcription Grand Challenge;ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2022-05-23
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