3 citations · 4 across the 4 of their papers we have counts for
4 papers
The USTC-NERCSLIP Systems for The ICMC-ASR Challenge
Minghui Wu, Luzhen Xu, Jie Zhang +15
This report describes the submitted system to the In-Car Multi-Channel Automatic Speech Recognition (ICMC-ASR) challenge, which considers the ASR task with multi-speaker overlappin…
The USTC-NERCSLIP Systems for the CHiME-7 DASR Challenge
Ruoyu Wang, Maokui He, Jun Du +16
This technical report details our submission system to the CHiME-7 DASR Challenge, which focuses on speaker diarization and speech recognition under complex multi-speaker scenarios…
Semi-supervised multi-channel speaker diarization with cross-channel attention
Shilong Wu, Jun Du, Maokui He +4
Most neural speaker diarization systems rely on sufficient manual training data labels, which are hard to collect under real-world scenarios. This paper proposes a semi-supervised…
Reducing the gap between streaming and non-streaming Transducer-based ASR by adaptive two-stage knowledge distillation
Haitao Tang, Yu Fu, Lei Sun +8
Transducer is one of the mainstream frameworks for streaming speech recognition. There is a performance gap between the streaming and non-streaming transducer models due to limited…