Kazuyoshi Yoshii (Ph.D.)
Title
Team Director
Members
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Team directorKazuyoshi Yoshii
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Research scientistAdityaarie Nugraha
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Visiting scientistHidetoshi Shimodaira
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Visiting scientistMakoto Yamada
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Visiting scientistMathieu Fontaine
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Visiting scientistYoshiaki Bando
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Part-time worker IMomose Oyama
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Part-time worker IIRyosuke Ono
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Part-time worker IIRyunosuke Nihei
Introduction
[CLOSED]
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)
Bayesian Learning (Hierarchical Bayes, Nonparametric Bayes)
Music Information Processing (Source Separation, Automatic Music Transcription)
Laboratory Website URL
RIKEN Website URL
Introduction Video
Poster(s)
- FY2025 Research Results(PDF 3MB) (Japanese version)
- FY2024 Research Results(PDF 2MB) (Japanese version)
- FY2023 Research Results(PDF 807KB) (Japanese version)
- FY2022 Research Results(PDF 1.16MB)(Japanese version)
- FY2021 Research Results(PDF 1.45MB)(Japanese version)
- FY2019 Research Results (Japanese version)
- FY2018 Research Results (Japanese version)
Research Achievements
Related posts
posted on July 25, 2025 16:34Information
posted on September 30, 2024 11:21Information
posted on January 27, 2023 10:01Information
posted on July 2, 2021 10:54Seminar
posted on April 16, 2021 11:44Information
