The research area of the Speech and Audio Processing Laboratory encompasses vast area of speech and audio signal processing including single/multi-channel voice activity detection, speech enhancement, source localization, source separation, acoustic echo cancellation, speech reinforcement, speech emotion recognition, and speaker recognition. Our approaches include signal processing approach based on signal characteristics and human perception model, machine learning approach based on ample database, and statistical signal processing approach utilizing both the signal model and the database information.