5 papers
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…
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…
AsyncSwitch: Asynchronous Text-Speech Adaptation for Code-Switched ASR
Tuan Nguyen, Huy-Dat Tran
Developing code-switched ASR systems is challenging due to language ambiguity and limited exposure to multilingual, code-switched data, while collecting such speech is costly. Prio…
Can we train ASR systems on Code-switch without real code-switch data? Case study for Singapore's languages
Tuan Nguyen, Huy-Dat Tran
Code-switching (CS), common in multilingual settings, presents challenges for ASR due to scarce and costly transcribed data caused by linguistic complexity. This study investigates…
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…