The Sound Scene Understanding team is developing analysis techniques for various kinds of audio signals including speech, music, and environmental sounds. Our approach is to formulate physically- or theoretically-reasonable probabilistic generative models that reflect the characteristics of target signals and solve the inverse problem. We tackle real-world problems by integrating Bayesian learning with deep learning.
Bayesian Learning (Hierarchical Bayes, Nonparametric Bayes)
Music Information Processing (Source Separation, Automatic Music Transcription)