120 citations · 414 across the 61 of their papers we have counts for
64 papers
Text-Only Domain Adaptation for End-to-End Speech Recognition through Down-Sampling Acoustic Representation
Jiaxu Zhu, Weinan Tong, Yaoxun Xu +6
Mapping two modalities, speech and text, into a shared representation space, is a research topic of using text-only data to improve end-to-end automatic speech recognition (ASR) pe…
Hybrid AHS: A Hybrid of Kalman Filter and Deep Learning for Acoustic Howling Suppression
Hao Zhang, Meng Yu, Yuzhong Wu +2
Deep learning has been recently introduced for efficient acoustic howling suppression (AHS). However, the recurrent nature of howling creates a mismatch between offline training an…
Deep Learning for Joint Acoustic Echo and Acoustic Howling Suppression in Hybrid Meetings
Hao Zhang, Meng Yu, Dong Yu
Hybrid meetings have become increasingly necessary during the post-COVID period and also brought new challenges for solving audio-related problems. In particular, the interplay bet…
3D Neural Beamforming for Multi-channel Speech Separation Against Location Uncertainty
Rongzhi Gu, Shi-Xiong Zhang, Dong Yu
Multi-channel speech separation using speaker's directional information has demonstrated significant gains over blind speech separation. However, it has two limitations. First, sub…
Deep AHS: A Deep Learning Approach to Acoustic Howling Suppression
Hao Zhang, Meng Yu, Dong Yu
In this paper, we formulate acoustic howling suppression (AHS) as a supervised learning problem and propose a deep learning approach, called Deep AHS, to address it. Deep AHS is tr…
Neural Target Speech Extraction: An Overview
Katerina Zmolikova, Marc Delcroix, Tsubasa Ochiai +3
Humans can listen to a target speaker even in challenging acoustic conditions that have noise, reverberation, and interfering speakers. This phenomenon is known as the cocktail-par…