8 citations · 15 across the 34 of their papers we have counts for
21 papers · 1 filter
FoleyGenEx: Unified Video-to-Audio Generation with Multi-Modal Control, Temporal Alignment, and Semantic Precision
Shiyao Wang, Xijuan Zeng, Hui Wang +4
We present FoleyGenEx, a unified video-to-audio (VTA) framework integrating multi-modal control, frame-level temporal alignment, and fine-grained semantics, enabling synchronized,…
EchoEdit: Stabilizing Inversion-Free Audio Editing via Optimal Transport Geometry
Zhongyuan Fu, Yuhang Jia, Hui Wang +6
Text-guided audio editing with pretrained generative models is commonly implemented through inversion or noising. This topology induces a structural trade-off, as stronger edits re…
Speech-XL: Towards Long-Form Speech Understanding in Large Speech Language Models
Haoqin Sun, Chenyang Lyu, Shiwan Zhao +5
Despite the growing success of Large Speech Language Models (LSLMs) in processing short-term acoustic signals, their extension to long-form audio understanding is severely bottlene…
DIFFA-2: A Practical Diffusion Large Language Model for General Audio Understanding
Jiaming Zhou, Xuxin Cheng, Shiwan Zhao +5
Autoregressive (AR) large audio language models (LALMs) such as Qwen-2.5-Omni have achieved strong performance on audio understanding and interaction, but scaling them remains cost…
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…
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…
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…
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…
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…
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…
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…
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…
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…
AudioEditor: A Training-Free Diffusion-Based Audio Editing Framework
Yuhang Jia, Yang Chen, Jinghua Zhao +4
Diffusion-based text-to-audio (TTA) generation has made substantial progress, leveraging latent diffusion model (LDM) to produce high-quality, diverse and instruction-relevant audi…
DiffEditor: Enhancing Speech Editing with Semantic Enrichment and Acoustic Consistency
Yang Chen, Yuhang Jia, Shiwan Zhao +4
As text-based speech editing becomes increasingly prevalent, the demand for unrestricted free-text editing continues to grow. However, existing speech editing techniques encounter…
M2R-Whisper: Multi-stage and Multi-scale Retrieval Augmentation for Enhancing Whisper
Jiaming Zhou, Shiwan Zhao, Jiabei He +6
State-of-the-art models like OpenAI's Whisper exhibit strong performance in multilingual automatic speech recognition (ASR), but they still face challenges in accurately recognizin…
PB-LRDWWS System for the SLT 2024 Low-Resource Dysarthria Wake-Up Word Spotting Challenge
Shiyao Wang, Jiaming Zhou, Shiwan Zhao +1
For the SLT 2024 Low-Resource Dysarthria Wake-Up Word Spotting (LRDWWS) Challenge, we introduce the PB-LRDWWS system. This system combines a dysarthric speech content feature extra…
Iterative Prototype Refinement for Ambiguous Speech Emotion Recognition
Haoqin Sun, Shiwan Zhao, Xiangyu Kong +4
Recognizing emotions from speech is a daunting task due to the subtlety and ambiguity of expressions. Traditional speech emotion recognition (SER) systems, which typically rely on…
Enhancing Dysarthric Speech Recognition for Unseen Speakers via Prototype-Based Adaptation
Shiyao Wang, Shiwan Zhao, Jiaming Zhou +2
Dysarthric speech recognition (DSR) presents a formidable challenge due to inherent inter-speaker variability, leading to severe performance degradation when applying DSR models to…
Fine-grained Disentangled Representation Learning for Multimodal Emotion Recognition
Haoqin Sun, Shiwan Zhao, Xuechen Wang +3
Multimodal emotion recognition (MMER) is an active research field that aims to accurately recognize human emotions by fusing multiple perceptual modalities. However, inherent heter…
kNN-CTC: Enhancing ASR via Retrieval of CTC Pseudo Labels
Jiaming Zhou, Shiwan Zhao, Yaqi Liu +3
The success of retrieval-augmented language models in various natural language processing (NLP) tasks has been constrained in automatic speech recognition (ASR) applications due to…