Mr. Nguyen Van Dinh (2nd-year master's student in the Unoki Lab, Human Information Science Research Area) received the Student Paper Award at the 2026 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP'26).

NCSP'26 is an international workshop on nonlinear circuits, communications, and signal processing organized by the Research Institute of Signal Processing (RISP). It was held in Honolulu, Hawaii, USA, from February 27 to March 2, 2026.

＊Reference：NCSP'26

■Date Awarded 
March 2, 2026

■Title
Comprehensive Evaluation of VAD-based and STM-Based Speech Detection Under Heavy Noise Conditions

■Authors
Nguyen Van Dinh, Nhu Quynh Tran, Quoc-Huy Nguyen, Masashi Unoki

■Abstract 
Speech detection under heavy noise conditions remains a significant challenge, even for modern voice activity detection (VAD) methods. In this study, we propose a framework based on spectro-temporal modulation (STM) features that demonstrates superior performance compared with conventional VAD-based methods. Furthermore, comprehensive analyses across various metrics and signal-to-noise ratios (SNRs) provide deeper insights into the efficacy of detection methods in heavy noise environments.

■Comment
I am deeply honored to have been awarded the Student Paper Award at NCSP'26. I would like to extend my sincere gratitude to Prof. Masashi Unoki for his dedicated mentorship, as well as to all members of the laboratory for their support and encouragement.

April 23, 2026