Acoustic Signal Processing / Microphone Array / Source Separation / Sound-to-Light Conversion / Environmental Sound Recognition / Machine Learning

Sound is an important medium rich with diverse information. In our daily lives, we converse through speech, enjoy music, and understand various surrounding situations through sound. We conduct research on signal processing and information processing of sound, aiming to achieve advanced audio information processing that surpasses human capabilities. Recent research topics include low-latency source separation, blind synchronization of asynchronous signals, the sound-to-light conversion device "Blinky," multiplication-free dimensionality reduction for machine learning, and environmental sound recognition. Our activities range from theoretical studies to real-world applications through industry collaborations, and we actively engage in international joint research.

• Personal website
• Lab website