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20232026
most citedRIR-SF: Room Impulse Response Based Spatial Feature for Target Speech Recognition in Multi-Channel Multi-Speaker Scenarios

1 citations · 2 across the 8 of their papers we have counts for

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eess.AS2023★ 1 cited

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…

eess.AS2023

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…

cs.SD2023

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…