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Home/Authors/Youjun Chen

Youjun Chen

3 indexed papers

Recent (6 mo)
3
With code
0
Influential cites
0
Benchmarked
0

Publications per year

3
26

Top categories

Audio and Speech Processing×3Sound×3AI×1

Frequent co-authors

Chengxi Deng3×
Mengzhe Geng3×
Huimeng Wang3×
Haoning Xu3×
Xunying Liu3×
Xurong Xie2×

Research Timeline

2026
Towards Data-free and Training-free Compression for Speech Foundation Models Using Parameter Clustering

A novel data-free and training-free compression approach for speech foundation models using channelwise clustering via k-means is proposed.

Confidence Score Guided Incremental and Speaker Adaptive Pseudo-Labeling for Semi-Supervised Elderly Speech Recognition

A novel confidence score guided incremental and speaker adaptive pseudo-labeling approach is proposed for semi-supervised elderly speech recognition.

Decoding while Adapting: Zero-Shot Online Speaker Adaptation via Audio-Textual Prompts for Elderly Speech Recognition

A novel approach for zero-shot, real-time speaker adaptation for elderly speech recognition.

Highlighted terms show continued research focus across papers

Papers

eess.AScs.SDEmpiricalRecentJun 15, 2026

Confidence Score Guided Incremental and Speaker Adaptive Pseudo-Labeling for Semi-Supervised Elderly Speech Recognition

Chengxi Deng, Xurong Xie, Shujie Hu, Jiajun Deng +6 more

A novel confidence score guided incremental and speaker adaptive pseudo-labeling approach is proposed for semi-supervised elderly speech recognition.

View →
eess.AScs.SDEmpirical
Recent
Jun 15, 2026

Decoding while Adapting: Zero-Shot Online Speaker Adaptation via Audio-Textual Prompts for Elderly Speech Recognition

Chengxi Deng, Xurong Xie, Shujie Hu, Mengzhe Geng +6 more

A novel approach for zero-shot, real-time speaker adaptation for elderly speech recognition.

View →
cs.SDcs.AIeess.ASEmpiricalRecentJun 10, 2026

Towards Data-free and Training-free Compression for Speech Foundation Models Using Parameter Clustering

Haoning Xu, Zhaoqing Li, Huimeng Wang, Youjun Chen +3 more

A novel data-free and training-free compression approach for speech foundation models using channelwise clustering via k-means is proposed.

View →