collaborators

8 papers

cs.SD2026

NVV-SuperBench: Beyond Words, Beyond Quality-Benchmarking Nonverbal Vocalizations in Speech Generation

Liumeng Xue, Weizhen Bian, Jiahao Pan +9

Nonverbal vocalizations (NVVs), such as laughing, sighing, and sobbing, are essential for human-like speech, yet standardized evaluation rarely jointly assesses whether systems gen…

cs.SD2026

MeMo: Attentional Momentum for Real-Time Audio-Visual Target Speaker Extraction Under Impaired Visual Conditions

Junjie Li, Wenxuan Wu, Shuai Wang +4

Audio-visual Target Speaker Extraction (AV-TSE) aims to isolate a target speaker's voice from multi-speaker environments by leveraging visual cues as guidance. However, the perform…

cs.SD2026

AlphaFlowTSE: One-Step Generative Target Speaker Extraction via Conditional AlphaFlow

Duojia Li, Shuhan Zhang, Zihan Qian +5

In target speaker extraction (TSE), we aim to recover target speech from a multi-talker mixture using a short enrollment utterance as reference. Recent studies on diffusion and flo…

cs.SD2025

ELEGANCE: Efficient LLM Guidance for Audio-Visual Target Speech Extraction

Wenxuan Wu, Shuai Wang, Xixin Wu +2

Audio-visual target speaker extraction (AV-TSE) models primarily rely on visual cues from the target speaker. However, humans also leverage linguistic knowledge, such as syntactic…

cs.SD2025

Incorporating Linguistic Constraints from External Knowledge Source for Audio-Visual Target Speech Extraction

Wenxuan Wu, Shuai Wang, Xixin Wu +2

Audio-visual target speaker extraction (AV-TSE) models primarily rely on target visual cues to isolate the target speaker's voice from others. We know that humans leverage linguist…

cs.SD2025

DiffDSR: Dysarthric Speech Reconstruction Using Latent Diffusion Model

Xueyuan Chen, Dongchao Yang, Wenxuan Wu +5

Dysarthric speech reconstruction (DSR) aims to convert dysarthric speech into comprehensible speech while maintaining the speaker's identity. Despite significant advancements, exis…