1 citations · 2 across the 8 of their papers we have counts for
8 papers
SpatialEmb: Extract and Encode Spatial Information for 1-Stage Multi-channel Multi-speaker ASR on Arbitrary Microphone Arrays
Yiwen Shao, Yong Xu, Sanjeev Khudanpur +1
Spatial information is a critical clue for multi-channel multi-speaker target speech recognition. Most state-of-the-art multi-channel Automatic Speech Recognition (ASR) systems ext…
VietASR: Achieving Industry-level Vietnamese ASR with 50-hour labeled data and Large-Scale Speech Pretraining
Jianheng Zhuo, Yifan Yang, Yiwen Shao +4
Automatic speech recognition (ASR) has made remarkable progress but heavily relies on large-scale labeled data, which is scarce for low-resource languages like Vietnamese. While ex…
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…
BANC: Towards Efficient Binaural Audio Neural Codec for Overlapping Speech
Anton Ratnarajah, Shi-Xiong Zhang, Dong Yu
We introduce BANC, a neural binaural audio codec designed for efficient speech compression in single and two-speaker scenarios while preserving the spatial location information of…