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eess.AS2025
DNCASR: End-to-End Training for Speaker-Attributed ASR
Xianrui Zheng, Chao Zhang, Philip C. Woodland
This paper introduces DNCASR, a novel end-to-end trainable system designed for joint neural speaker clustering and automatic speech recognition (ASR), enabling speaker-attributed t…
eess.AS2025
MT2KD: Towards A General-Purpose Encoder for Speech, Speaker, and Audio Events
Xiaoyu Yang, Qiujia Li, Chao Zhang +1
With the advances in deep learning, the performance of end-to-end (E2E) single-task models for speech and audio processing has been constantly improving. However, it is still chall…