80 citations · 116 across the 18 of their papers we have counts for
31 papers
LibriheavyMix: A 20,000-Hour Dataset for Single-Channel Reverberant Multi-Talker Speech Separation, ASR and Speaker Diarization
Zengrui Jin, Yifan Yang, Mohan Shi +10
The evolving speech processing landscape is increasingly focused on complex scenarios like meetings or cocktail parties with multiple simultaneous speakers and far-field conditions…
Comparing Discrete and Continuous Space LLMs for Speech Recognition
Yaoxun Xu, Shi-Xiong Zhang, Jianwei Yu +2
This paper investigates discrete and continuous speech representations in Large Language Model (LLM)-based Automatic Speech Recognition (ASR), organizing them by feature continuity…
Advancing Multi-talker ASR Performance with Large Language Models
Mohan Shi, Zengrui Jin, Yaoxun Xu +6
Recognizing overlapping speech from multiple speakers in conversational scenarios is one of the most challenging problem for automatic speech recognition (ASR). Serialized output t…
Multi-Channel Multi-Speaker ASR Using Target Speaker's Solo Segment
Yiwen Shao, Shi-Xiong Zhang, Yong Xu +4
In the field of multi-channel, multi-speaker Automatic Speech Recognition (ASR), the task of discerning and accurately transcribing a target speaker's speech within background nois…
RIR-SF: Room Impulse Response Based Spatial Feature for Target Speech Recognition in Multi-Channel Multi-Speaker Scenarios
Yiwen Shao, Shi-Xiong Zhang, Dong Yu
Automatic speech recognition (ASR) on multi-talker recordings is challenging. Current methods using 3D spatial data from multi-channel audio and visual cues focus mainly on direct…
UniX-Encoder: A Universal -Channel Speech Encoder for Ad-Hoc Microphone Array Speech Processing
Zili Huang, Yiwen Shao, Shi-Xiong Zhang +1
The speech field is evolving to solve more challenging scenarios, such as multi-channel recordings with multiple simultaneous talkers. Given the many types of microphone setups out…