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20232026
most citedEnhancing Dysarthric Speech Recognition for Unseen Speakers via Prototype-Based Adaptation

8 citations · 14 across the 38 of their papers we have counts for

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Showing 2025 · cs.SDShow all

12 papers · 2 filters

cs.SD2025

Zero- and One-Shot Data Augmentation for Sentence-Level Dysarthric Speech Recognition in Constrained Scenarios

Shiyao Wang, Shiwan Zhao, Jiaming Zhou +1

Dysarthric speech recognition (DSR) research has witnessed remarkable progress in recent years, evolving from the basic understanding of individual words to the intricate comprehen…

cs.SD2025

SpeechLLM-as-Judges: Towards General and Interpretable Speech Quality Evaluation

Hui Wang, Jinghua Zhao, Yifan Yang +9

Generative speech technologies are progressing rapidly, but evaluating the perceptual quality of synthetic speech remains a core challenge. Existing methods typically rely on scala…

cs.SD2025

AudioEval: Automatic Dual-Perspective and Multi-Dimensional Evaluation of Text-to-Audio-Generation

Hui Wang, Jinghua Zhao, Junyang Cheng +5

Text-to-audio (TTA) generation is advancing rapidly, but evaluation remains challenging because human listening studies are expensive and existing automatic metrics capture only li…

cs.SD2025

WildElder: A Chinese Elderly Speech Dataset from the Wild with Fine-Grained Manual Annotations

Hui Wang, Jiaming Zhou, Jiabei He +2

Elderly speech poses unique challenges for automatic processing due to age-related changes such as slower articulation and vocal tremors. Existing Chinese datasets are mostly recor…

cs.SD2025

MECap-R1: Emotion-aware Policy with Reinforcement Learning for Multimodal Emotion Captioning

Haoqin Sun, Chenyang Lyu, Xiangyu Kong +9

Speech Emotion Captioning (SEC) has emerged as a notable research direction. The inherent complexity of emotional content in human speech makes it challenging for traditional discr…

cs.SD2025

TTA-Bench: A Comprehensive Benchmark for Evaluating Text-to-Audio Models

Hui Wang, Cheng Liu, Junyang Chen +7

Text-to-Audio (TTA) generation has made rapid progress, but current evaluation methods remain narrow, focusing mainly on perceptual quality while overlooking robustness, generaliza…

cs.SD2025

GLAD: Global-Local Aware Dynamic Mixture-of-Experts for Multi-Talker ASR

Yujie Guo, Jiaming Zhou, Yuhang Jia +2

End-to-end multi-talker automatic speech recognition (MTASR) faces significant challenges in accurately transcribing overlapping speech. A critical bottleneck is that speaker-speci…

cs.SD2025

DIFFA: Large Language Diffusion Models Can Listen and Understand

Jiaming Zhou, Hongjie Chen, Shiwan Zhao +9

Recent advances in large language models (LLMs) have shown remarkable capabilities across textual and multimodal domains. In parallel, diffusion-based language models have emerged…

cs.SD2025

A Self-Training Approach for Whisper to Enhance Long Dysarthric Speech Recognition

Shiyao Wang, Jiaming Zhou, Shiwan Zhao +1

Dysarthric speech recognition (DSR) enhances the accessibility of smart devices for dysarthric speakers with limited mobility. Previously, DSR research was constrained by the fact…

cs.SD2025

StreamMel: Real-Time Zero-shot Text-to-Speech via Interleaved Continuous Autoregressive Modeling

Hui Wang, Yifan Yang, Shujie Liu +7

Recent advances in zero-shot text-to-speech (TTS) synthesis have achieved high-quality speech generation for unseen speakers, but most systems remain unsuitable for real-time appli…

cs.SD2025

RA-CLAP: Relation-Augmented Emotional Speaking Style Contrastive Language-Audio Pretraining For Speech Retrieval

Haoqin Sun, Jingguang Tian, Jiaming Zhou +8

The Contrastive Language-Audio Pretraining (CLAP) model has demonstrated excellent performance in general audio description-related tasks, such as audio retrieval. However, in the…

cs.SD2025★ 1 cited

MusicEval: A Generative Music Dataset with Expert Ratings for Automatic Text-to-Music Evaluation

Cheng Liu, Hui Wang, Jinghua Zhao +6

The technology for generating music from textual descriptions has seen rapid advancements. However, evaluating text-to-music (TTM) systems remains a significant challenge, primaril…