Teerapat's research interests are in the domain of audio, music, and computer vision, for instance, audio-visual representation, deep learning, music information retrieval, AR/VR, computer vision, and computer graphics. The overarching question is how we can leverage visual features to make auditory experience more immersive or audio features to make visual experience more immersive.
Teerapat's personal interests are about cooking, traveling, photographing, gaming, learning languages, watching series, and reading light novels. Currently, he knows Thai, English, Japanese, and Korean. In his free time, he loves to cook new recipes and think about cool ideas to work on. He is also interested in applied ethics on areas related to CS technology.
Building a very low-bitrate speech codec powered by large language models
University of Washington
Ph.D. program; working in the graphics and imaging laboratory (GRAIL) and UW Reality lab; focusing primarily in deep learning in audio and computer vision.
Working in the customer behavior analytics team; developing deep learning algorithms for customer segmentation.
Working remotely with Microsoft Research team to leverage eye-tracking devices for improving on-screen reading.
Working with Intel researchers on 3D audio projects as a summer research project.
Environmental Data Resoureces, Inc.
Working remotely during the school year to implement ML model for parsing US addresses.
Harvey Mudd College
Undergraduate school; having my first research in Music Information Retrieval, AI, and Computer Vision.