activity
20152026
most citedASSERT: Anti-Spoofing with Squeeze-Excitation and Residual neTworks

18 citations · 57 across the 50 of their papers we have counts for

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Showing 2024Show all

7 papers · 1 filter

eess.AS2024

CA-SSLR: Condition-Aware Self-Supervised Learning Representation for Generalized Speech Processing

Yen-Ju Lu, Jing Liu, Thomas Thebaud +4

We introduce Condition-Aware Self-Supervised Learning Representation (CA-SSLR), a generalist conditioning model broadly applicable to various speech-processing tasks. Compared to s…

cs.CR2024

Clean Label Attacks against SLU Systems

Henry Li Xinyuan, Sonal Joshi, Thomas Thebaud +3

Poisoning backdoor attacks involve an adversary manipulating the training data to induce certain behaviors in the victim model by inserting a trigger in the signal at inference tim…

eess.AS2024

SoloAudio: Target Sound Extraction with Language-oriented Audio Diffusion Transformer

Helin Wang, Jiarui Hai, Yen-Ju Lu +3

In this paper, we introduce SoloAudio, a novel diffusion-based generative model for target sound extraction (TSE). Our approach trains latent diffusion models on audio, replacing t…

q-bio.NC2024

Interpretable Features for the Assessment of Neurodegenerative Diseases through Handwriting Analysis

Thomas Thebaud, Anna Favaro, Casey Chen +4

Motor dysfunction is a common sign of neurodegenerative diseases (NDs) such as Parkinson's disease (PD) and Alzheimer's disease (AD), but may be difficult to detect, especially in…

eess.AS2024

SSR-Speech: Towards Stable, Safe and Robust Zero-shot Text-based Speech Editing and Synthesis

Helin Wang, Meng Yu, Jiarui Hai +5

In this paper, we introduce SSR-Speech, a neural codec autoregressive model designed for stable, safe, and robust zero-shot textbased speech editing and text-to-speech synthesis. S…

eess.AS2024

Noise-robust Speech Separation with Fast Generative Correction

Helin Wang, Jesus Villalba, Laureano Moro-Velazquez +3

Speech separation, the task of isolating multiple speech sources from a mixed audio signal, remains challenging in noisy environments. In this paper, we propose a generative correc…