Kazuyoshi Yoshii
Kazuyoshi Yoshii (Ph.D.)
Team Leader


  • Team leader
    Kazuyoshi Yoshii
  • Research scientist
    Adityaarie Nugraha
  • Postdoctoral researcher
    Diego Dicarlo
  • Visiting scientist
    Hidetoshi Shimodaira
  • Visiting scientist
    Makoto Yamada
  • Visiting scientist
    Yoshiaki Bando
  • Part-time worker I
    Momose Oyama
  • Part-time worker I
    Yihua Zhu
  • Part-time worker I
    Yoto Fujita


Laboratory's photo

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.

Main Research Field
Computer Science
Research Field
Engineering / Mathematics
Research Subjects
Statistical Audio Signal Processing (Source Separation/Localization, Speech Enhancement)
Bayesian Learning (Hierarchical Bayes, Nonparametric Bayes)
Music Information Processing (Source Separation, Automatic Music Transcription)
Laboratory Website URL

Introduction Video

Information Integration for Neuroscience Team (PI: Kazuyoshi Yoshii) thumbnails

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