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20222026
most citedPersonalized Adversarial Data Augmentation for Dysarthric and Elderly Speech Recognition

38 citations · 41 across the 28 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

eess.AS2024

Structured Speaker-Deficiency Adaptation of Foundation Models for Dysarthric and Elderly Speech Recognition

Shujie Hu, Xurong Xie, Mengzhe Geng +8

Data-intensive fine-tuning of speech foundation models (SFMs) to scarce and diverse dysarthric and elderly speech leads to data bias and poor generalization to unseen speakers. Thi…

cs.SD2024

Homogeneous Speaker Features for On-the-Fly Dysarthric and Elderly Speaker Adaptation

Mengzhe Geng, Xurong Xie, Jiajun Deng +7

The application of data-intensive automatic speech recognition (ASR) technologies to dysarthric and elderly adult speech is confronted by their mismatch against healthy and nonaged…

eess.AS2024

Self-supervised ASR Models and Features For Dysarthric and Elderly Speech Recognition

Shujie Hu, Xurong Xie, Mengzhe Geng +8

Self-supervised learning (SSL) based speech foundation models have been applied to a wide range of ASR tasks. However, their application to dysarthric and elderly speech via data-i…

cs.SD2024

Joint Speaker Features Learning for Audio-visual Multichannel Speech Separation and Recognition

Guinan Li, Jiajun Deng, Youjun Chen +8

This paper proposes joint speaker feature learning methods for zero-shot adaptation of audio-visual multichannel speech separation and recognition systems. xVector and ECAPA-TDNN s…

cs.SD2024

Towards Effective and Efficient Non-autoregressive Decoding Using Block-based Attention Mask

Tianzi Wang, Xurong Xie, Zhaoqing Li +9

This paper proposes a novel non-autoregressive (NAR) block-based Attention Mask Decoder (AMD) that flexibly balances performance-efficiency trade-offs for Conformer ASR systems. AM…

cs.SD2024★ 1 cited

Enhancing Pre-trained ASR System Fine-tuning for Dysarthric Speech Recognition using Adversarial Data Augmentation

Huimeng Wang, Zengrui Jin, Mengzhe Geng +5

Automatic recognition of dysarthric speech remains a highly challenging task to date. Neuro-motor conditions and co-occurring physical disabilities create difficulty in large-scale…