50 citations · 95 across the 7 of their papers we have counts for
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eess.AS2022
Augmenting Transformer-Transducer Based Speaker Change Detection With Token-Level Training Loss
Guanlong Zhao, Quan Wang, Han Lu +2
In this work we propose a novel token-based training strategy that improves Transformer-Transducer (T-T) based speaker change detection (SCD) performance. The conventional T-T base…
eess.AS2022★ 3 cited
Highly Efficient Real-Time Streaming and Fully On-Device Speaker Diarization with Multi-Stage Clustering
Quan Wang, Yiling Huang, Han Lu +2
While recent research advances in speaker diarization mostly focus on improving the quality of diarization results, there is also an increasing interest in improving the efficiency…