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20222026
most citedRecent Progress in the CUHK Dysarthric Speech Recognition System

93 citations · 114 across the 37 of their papers we have counts for

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7 papers · 1 filter

eess.AS2022

Confidence Score Based Conformer Speaker Adaptation for Speech Recognition

Jiajun Deng, Xurong Xie, Tianzi Wang +7

A key challenge for automatic speech recognition (ASR) systems is to model the speaker level variability. In this paper, compact speaker dependent learning hidden unit contribution…

eess.AS2022

Conformer Based Elderly Speech Recognition System for Alzheimer's Disease Detection

Tianzi Wang, Jiajun Deng, Mengzhe Geng +7

Early diagnosis of Alzheimer's disease (AD) is crucial in facilitating preventive care to delay further progression. This paper presents the development of a state-of-the-art Confo…

eess.AS2022★ 6 cited

Two-pass Decoding and Cross-adaptation Based System Combination of End-to-end Conformer and Hybrid TDNN ASR Systems

Mingyu Cui, Jiajun Deng, Shoukang Hu +7

Fundamental modelling differences between hybrid and end-to-end (E2E) automatic speech recognition (ASR) systems create large diversity and complementarity among them. This paper i…

eess.AS2022

Exploiting Cross-domain And Cross-Lingual Ultrasound Tongue Imaging Features For Elderly And Dysarthric Speech Recognition

Shujie Hu, Xurong Xie, Mengzhe Geng +6

Articulatory features are inherently invariant to acoustic signal distortion and have been successfully incorporated into automatic speech recognition (ASR) systems designed for no…

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★ 93 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…

eess.AS2022★ 1 cited

Neural Architecture Search For LF-MMI Trained Time Delay Neural Networks

Shoukang Hu, Xurong Xie, Mingyu Cui +6

State-of-the-art automatic speech recognition (ASR) system development is data and computation intensive. The optimal design of deep neural networks (DNNs) for these systems often…