Audio/music signal subgroup aims to propose digital signal processing techniques to solve problems of audio and music applications. Our research interests could be categorized as: (1)computer perception of music: music onset and beat detection, music segmentation, instrument classification, (2) multimedia security: watermark, data hiding and (3) blind source separation: the separation of speech and music, separation of different sounds in music.

• An Improved Technique for Blind Audio Source Separation ( Namgook Cho, Yu Shiu, C.-C. Jay Kuo )
• Musical onset detection based on adaptive linear prediction ( Wan-Chi Lee, C.-C. Jay Kuo )
• Similar Segment Detection for Music Structure Analysis via Viterbi Algorithm ( Yu Shiu, Hong Jeong, C-C Jay Kuo )
• Similarity Matrix Processing for Music Structure Analysis ( Yu Shiu, Hong Jeong, C-C Jay Kuo )
• On-Line Musical Beat Tracking with Phase-Locked-Loop (PLL) Technique ( Yu Shiu, C-C Jay Kuo )
• Design of Collusion-free Hiding Codes Using MAI-free Principle ( Byung-Ho Cha, C.-C. Jay Kuo )
• Design of Multiuser Collusion-free Hiding Codes With Delayed Embedding ( Byung-Ho Cha, C.-C. Jay Kuo )
• On-line Music Beat Tracking with Kalman Filtering and Probability Data Association (KF-PDA) ( Yu Shiu, C-C Jay Kuo )
• A Modified Kalman Filtering Approach to On-Line Musical Beat Tracking ( Yu Shiu, C-C Jay Kuo )
• A Hidden Markov Model Approach to Musical Beat Tracking ( Yu Shiu, C-C Jay Kuo )
• Musical Beat Tracking via Kalman Filtering and Noisy Measurements Selection ( Yu Shiu, C-C Jay Kuo )
• Audio Source Separation with Matching Pursuit and Content-adaptive Dictionaries (MP-CAD) ( Namgook Cho, Yu Shiu, C.-C. Jay Kuo )
• Efficient Music Representation with Content Adaptive Dictionaries ( Namgook Cho, Yu Shiu, C.-C. Jay Kuo )
• Advanced Colluder Detection Techniques for OSIFT-based Hiding Codes ( Byung-Ho Cha, C.-C. Jay Kuo )