activity
20242026
collaborators

9 papers

cs.CL2026

Lamer-SSL: Layer-aware Mixture of LoRA Experts for Continual Multilingual Expansion of Self-supervised Models without Forgetting

Jing Xu, Minglin Wu, Xueyuan Chen +2

Despite their impressive performance, self-supervised speech models often struggle to generalize to new languages and tend to forget previously acquired knowledge during continual…

eess.AS2025

Towards Effective and Efficient Non-autoregressive decoders for Conformer and LLM-based ASR using Block-based Attention Mask

Tianzi Wang, Xurong Xie, Zengrui Jin +9

Automatic speech recognition (ASR) systems often rely on autoregressive (AR) Transformer decoder architectures, which limit efficient inference parallelization due to their sequent…

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…

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.CL2024

Large Language Model Can Transcribe Speech in Multi-Talker Scenarios with Versatile Instructions

Lingwei Meng, Shujie Hu, Jiawen Kang +6

Recent advancements in large language models (LLMs) have revolutionized various domains, bringing significant progress and new opportunities. Despite progress in speech-related tas…

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…