• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to project page

2012 Fiscal Year Final Research Report

Structure Learning and Source Separation of Music Audio Signals based on Bayesian Nonparametrics

Research Project

  • PDF
Project/Area Number 23700184
Research Category

Grant-in-Aid for Young Scientists (B)

Allocation TypeMulti-year Fund
Research Field Intelligent informatics
Research InstitutionNational Institute of Advanced Industrial Science and Technology

Principal Investigator

YOSHII Kazuyoshi  独立行政法人産業技術総合研究所, 情報技術研究部門, 主任研究員 (20510001)

Project Period (FY) 2011 – 2012
Keywords音楽情報処理 / 機械学習
Research Abstract

This research aims to develop a nonparametric Bayesian model that can be used for jointly performing source separation and structure learning of music audio signals in an unsupervised manner. First, we have studied on structure learning of music scores (s

  • Research Products

    (11 results)

All 2013 2012 2011 Other

All Presentation (10 results) Remarks (1 results)

  • [Presentation] Infinite Positive Semidefinite Tensor Factorization for Source Separation of Mixture Signals2013

    • Author(s)
      Kazuyoshi Yoshii, Ryota Tomioka,Daichi Mochihashi, and Masataka Goto
    • Organizer
      The 30th International Conference on Machine Learning (ICML)
    • Place of Presentation
      Atlanta (USA)
    • Year and Date
      2013-06-18
  • [Presentation] Infinite Kernel Linear Prediction for Joint Estimation of Spectral Envelope and Fundamental Frequency2013

    • Author(s)
      Kazuyoshi Yoshii and Masataka Goto
    • Organizer
      IEEE International Conference on Acoustics,Speech, and Signal Processing (ICASSP)
    • Place of Presentation
      Vancouver (Canada)
    • Year and Date
      2013-05-29
  • [Presentation] スペクトル包絡と基本周波数の同時推定のための無限カーネル線形予測分析法2013

    • Author(s)
      吉井和佳, 後藤真孝
    • Organizer
      情報処理学会 第99回音楽情報科学研究会
    • Place of Presentation
      お茶の水女子大学(東京都)
    • Year and Date
      2013-05-11
  • [Presentation] 音楽音響信号解析のためのガンマ過程に基づく無限複合自己回帰モデル2012

    • Author(s)
      吉井和佳, 後藤真孝
    • Organizer
      第15回情報論的学習理論ワークショップ, IBISML2012-51
    • Place of Presentation
      筑波大学東京キャンパス(東京都)
    • Year and Date
      2012-11-07
  • [Presentation] Infinite Composite Autoregressive Models for Music Signal Analysis2012

    • Author(s)
      Kazuyoshi Yoshii and Masataka Goto
    • Organizer
      The 13th International Society for Music Information Retrieval Conference (ISMIR)
    • Place of Presentation
      Porto (Portugal)
    • Year and Date
      2012-10-09
  • [Presentation] 多重音基本周波数解析のための無限複合自己回帰モデル2012

    • Author(s)
      吉井和佳, 後藤真孝
    • Organizer
      情報処理学会 第96回音楽情報科学研究会
    • Place of Presentation
      近江町交流プラザ(石川県)
    • Year and Date
      2012-08-10
  • [Presentation] Unsupervised Music Understanding Based on Nonparametric Bayesian Models2012

    • Author(s)
      Kazuyoshi Yoshii and Masataka Goto
    • Organizer
      IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
    • Place of Presentation
      Kyoto International Conference Center (Kyoto)
    • Year and Date
      2012-03-02
  • [Presentation] A Unified Probabilistic Model of Note Combinations and Chord Progressions2011

    • Author(s)
      Kazuyoshi Yoshii and Masataka Goto
    • Organizer
      The 4th International Workshop on Music and Machine Learning (MML)
    • Place of Presentation
      Granada (Spain)
    • Year and Date
      2011-12-17
  • [Presentation] A Vocabulary-Free Infinity-Gram Model for Nonparametric Bayesian Chord Progression Analysis2011

    • Author(s)
      Kazuyoshi Yoshii and Masataka Goto
    • Organizer
      The 12th International Society for Music Information Retrieval Conference (ISMIR)
    • Place of Presentation
      Miami (USA)
    • Year and Date
      2011-10-27
  • [Presentation] 和音進行解析のための語彙フリー無限グラムモデル2011

    • Author(s)
      吉井和佳, 後藤真孝
    • Organizer
      情報処理学会 第91回音楽情報科学研究会
    • Place of Presentation
      関西学院大学(兵庫県)
    • Year and Date
      2011-07-27
  • [Remarks]

    • URL

      http://staff.aist.go.jp/k.yoshii/

URL: 

Published: 2014-09-25  

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi