collaborators

5 papers

cs.SD2026

Audio-Visual Turn-taking Prediction in Cocktail Party Scenarios

Long-Vu Hoang, Naomi Harte

Current predictive turn-taking models (PTTMs) achieve strong performance on benchmarks with controlled acoustic conditions and clean audio signals. Their generalisation to conversa…

cs.SD2026

Fine-Grained Frame Modeling in Multi-head Self-Attention for Speech Deepfake Detection

Tuan Dat Phuong, Duc-Tuan Truong, Long-Vu Hoang +1

Transformer-based models have shown strong performance in speech deepfake detection, largely due to the effectiveness of the multi-head self-attention (MHSA) mechanism. MHSA provid…

cs.CL2025

Qwen vs. Gemma Integration with Whisper: A Comparative Study in Multilingual SpeechLLM Systems

Tuan Nguyen, Long-Vu Hoang, Huy-Dat Tran

This paper presents our system for the MLC-SLM Challenge 2025, focusing on multilingual speech recognition and language modeling with large language models (LLMs). Our approach com…

cs.SD2025

Pushing the Performance of Synthetic Speech Detection with Kolmogorov-Arnold Networks and Self-Supervised Learning Models

Tuan Dat Phuong, Long-Vu Hoang, Huy Dat Tran

Recent advancements in speech synthesis technologies have led to increasingly advanced spoofing attacks, posing significant challenges for automatic speaker verification systems. W…

cs.SD2025

Acoustic scattering AI for non-invasive object classifications: A case study on hair assessment

Long-Vu Hoang, Tuan Nguyen, Tran Huy Dat

This paper presents a novel non-invasive object classification approach using acoustic scattering, demonstrated through a case study on hair assessment. When an incident wave inter…