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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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11 papers · 1 filter

cs.SD2026

Explainable and Trustworthy Speech Emotion Recognition Using Confidence Score and Reinforcement Learning Rectified Speech Emotion Descriptors

Youjun Chen, Xurong Xie, Mengzhe Geng +9

Explainable and trustworthy speech emotion recognition (SER) remains a challenging task to date, largely due to the scarcity of SER data with reliable speech emotion descriptor (SE…

cs.SD2026

Multi-Channel Speech Enhancement for Cocktail Party Speech Emotion Recognition

Youjun Chen, Guinan Li, Mengzhe Geng +9

This paper highlights the critical importance of multi-channel speech enhancement (MCSE) for speech emotion recognition (ER) in cocktail party scenarios. A multi-channel speech der…

cs.SD2025

Towards LLM-Empowered Fine-Grained Speech Descriptors for Explainable Emotion Recognition

Youjun Chen, Xurong Xie, Haoning Xu +6

This paper presents a novel end-to-end LLM-empowered explainable speech emotion recognition (SER) approach. Fine-grained speech emotion descriptor (SED) features, e.g., pitch, tone…

cs.SD2025

Effective and Efficient One-pass Compression of Speech Foundation Models Using Sparsity-aware Self-pinching Gates

Haoning Xu, Zhaoqing Li, Youjun Chen +5

This paper presents a novel approach for speech foundation models compression that tightly integrates model pruning and parameter update into a single stage. Highly compact layer-l…

cs.SD2025

On-the-fly Routing for Zero-shot MoE Speaker Adaptation of Speech Foundation Models for Dysarthric Speech Recognition

Shujie HU, Xurong Xie, Mengzhe Geng +8

This paper proposes a novel MoE-based speaker adaptation framework for foundation models based dysarthric speech recognition. This approach enables zero-shot adaptation and real-ti…

cs.SD2025

Effective and Efficient Mixed Precision Quantization of Speech Foundation Models

Haoning Xu, Zhaoqing Li, Zengrui Jin +7

This paper presents a novel mixed-precision quantization approach for speech foundation models that tightly integrates mixed-precision learning and quantized model parameter estima…

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…

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…

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…