activity
20172022
most citedRecent Progress in the CUHK Dysarthric Speech Recognition System

93 citations · 224 across the 23 of their papers we have counts for

collaborators

32 papers

eess.AS2022

Disentangled Speech Representation Learning for One-Shot Cross-lingual Voice Conversion Using -VAE

Hui Lu, Disong Wang, Xixin Wu +3

We propose an unsupervised learning method to disentangle speech into content representation and speaker identity representation. We apply this method to the challenging one-shot c…

cs.SD2022

Audio-visual multi-channel speech separation, dereverberation and recognition

Guinan Li, Jianwei Yu, Jiajun Deng +2

Despite the rapid advance of automatic speech recognition (ASR) technologies, accurate recognition of cocktail party speech characterised by the interference from overlapping speak…

cs.SD2022

Neural Architecture Search for Speech Emotion Recognition

Xixin Wu, Shoukang Hu, Zhiyong Wu +2

Deep neural networks have brought significant advancements to speech emotion recognition (SER). However, the architecture design in SER is mainly based on expert knowledge and empi…

eess.AS2022

Exploiting Cross Domain Acoustic-to-articulatory Inverted Features For Disordered Speech Recognition

Shujie Hu, Shansong Liu, Xurong Xie +6

Articulatory features are inherently invariant to acoustic signal distortion and have been successfully incorporated into automatic speech recognition (ASR) systems for normal spee…

eess.AS2022

Speaker Adaptation Using Spectro-Temporal Deep Features for Dysarthric and Elderly Speech Recognition

Mengzhe Geng, Xurong Xie, Zi Ye +5

Despite the rapid progress of automatic speech recognition (ASR) technologies targeting normal speech in recent decades, accurate recognition of dysarthric and elderly speech remai…

eess.AS202293 cited

Recent Progress in the CUHK Dysarthric Speech Recognition System

Shansong Liu, Mengzhe Geng, Shoukang Hu +5

Despite the rapid progress of automatic speech recognition (ASR) technologies in the past few decades, recognition of disordered speech remains a highly challenging task to date. D…