Hoi Rin Kim

Hoi Rin Kim is a Faculty member in the School of Electrical Engineering at KAIST. Their research focuses on statistical speech and sound computing, with an emphasis on speech processing and machine learning applications. Kim is affiliated with the SSSC Lab and contributes to projects involving speech recognition, speaker verification, and audio-visual speech recognition. They have published extensively in top-tier conferences such as ICASSP, Interspeech, and IEEE ACCESS, with notable work on noise-robust speech processing and self-supervised learning models. Kim's research has been recognized with awards, including the Best Student Paper Award at ICASSP 2024.

Hoirin Kim is a Professor of Electrical Engineering at KAIST, specializing in speech processing and audio signal analysis. Their research focuses on improving speech recognition systems for dysarthric speech, enhancing speaker verification through robust feature extraction, and developing advanced audio fingerprinting techniques for real-noise environments. Kim's work also explores intelligent broadcasting systems for personalized content delivery and wireless power transfer technologies. Key contributions include meta-learning for speaker recognition, knowledge distillation in speech self-supervised learning, and anti-spoofing methods using transfer learning. Their research addresses challenges in speech intelligibility, speaker adaptation, and audio signal robustness.