3 papers
eess.AS2025
Lessons Learnt: Revisit Key Training Strategies for Effective Speech Emotion Recognition in the Wild
Jing-Tong Tzeng, Bo-Hao Su, Ya-Tse Wu +2
In this study, we revisit key training strategies in machine learning often overlooked in favor of deeper architectures. Specifically, we explore balancing strategies, activation f…
eess.AS2025
Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition
Jing-Tong Tzeng, Carlos Busso, Chi-Chun Lee
Speech emotion recognition (SER) plays a critical role in building emotion-aware speech systems, but its performance degrades significantly under noisy conditions. Although speech…
eess.AS2024
Improving the Robustness and Clinical Applicability of Automatic Respiratory Sound Classification Using Deep Learning-Based Audio Enhancement: Algorithm Development and Validation
Jing-Tong Tzeng, Jeng-Lin Li, Huan-Yu Chen +5
Deep learning techniques have shown promising results in the automatic classification of respiratory sounds. However, accurately distinguishing these sounds in real-world noisy con…