activity
20232026
most citedSPEAR: A Unified SSL Framework for Learning Speech and Audio Representations

1 citations · 2 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.SD2026

AuDirector: A Self-Reflective Closed-Loop Framework for Immersive Audio Storytelling

Yiming Ren, Xuenan Xu, Ziyang Zhang +3

Despite advances in text and visual generation, creating coherent long-form audio narratives remains challenging. Existing frameworks often exhibit limitations such as mismatched c…

cs.SD2026

HoliAntiSpoof: Audio LLM for Holistic Speech Anti-Spoofing

Xuenan Xu, Yiming Ren, Liwei Liu +5

Recent advances in speech synthesis and editing have made speech spoofing increasingly challenging. However, most existing methods treat spoofing as binary classification, overlook…

cs.SD2025

Bayesian Speech Synthesizers Can Learn from Multiple Teachers

Ziyang Zhang, Yifan Gao, Xuenan Xu +3

Text-to-speech (TTS) is a "one-to-many" problem: one text can be spoken in many valid ways, so its realizations form a distribution whose spread depends on the input. Most TTS mode…

cs.SD2025

Can Audio Large Language Models Verify Speaker Identity?

Yiming Ren, Xuenan Xu, Baoxiang Li +2

This paper investigates adapting Audio Large Language Models (ALLMs) for speaker verification (SV). We reformulate SV as an audio question-answering task and conduct comprehensive…

cs.SD2023★ 1 cited

Dual-path Transformer Based Neural Beamformer for Target Speech Extraction

Aoqi Guo, Sichong Qian, Baoxiang Li +1

Neural beamformers, which integrate both pre-separation and beamforming modules, have demonstrated impressive effectiveness in target speech extraction. Nevertheless, the performan…