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Study of Music Information Retrieval Methods Using Music Structure

Study of Music Information Retrieval Methods Using Music Structure
利用音乐结构的音乐信息检索方法研究
批准号:
17500054
负责人:
HIRAGA Yuzuru
金额:
$2.05万
依托单位:
依托单位国家:
日本
项目类别:
Grant-in-Aid for Scientific Research (C)
财政年份:
2005
资助国家:
日本
项目状态:
已结题
起止时间:
2005 至 2006

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项目成果

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中文摘要
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英文摘要
This research looks into various aspects of music structures, with work including study on the theoretical basis of representing and analyzing such structures by computers, psychological experiments studying the nature of human music structure cognition, and implementation and verification of application systems based on their results with focus on use in Music Information Retrieval (MIR). MIR has been a highly active research field in the recent years, and besides ordinary melody retrieval based on superficial cues, research oriented towards retrieval based on high level structural analysis and/or specializing on specific musical features is desired. This research can be seen to take part in such ongoing efforts.The individual topics and results of this research can be summarized as follows.1. Music data used in the research, including piano pieces (approx. 300 pieces) and singing data have been accumulated and organized in the form of databases on the server machine introduced by thi … More s grant, together with original data such as singing data from the psychological experiments.2. As part of realizing MIR based on musical structures, a prototype system retrieving structural notes from multi-part music has been implemented and tested.3. A system for percussion pattern retrieval using queries verbalized (onomatopoeic) imitations of percussion sounds has been implemented and achieved a high recognition rate. The results were applied to "Voice Drummer", which is a system that supports input of percussion parts in music composition and arrangement.4. In order to verify the possibility and plausibility of using singing voice in retrieval queries, the music/acoustic features related to singing skill evaluation has been analyzed, and the results were applied to a prototype system of automatic singing skill evaluation that does not use music score information.5. In order to study the characteristic features of human music structure cognition and to verify their applicability to MIR, an experimental study on how humans recite unknown melodies was performed, and the structural features of singing errors were analyzed.Part of the above results is still in preparation for publication, and is planned to be published in the near future. In summary, while this research achieved notable (and highly recognized) results extending the original research plan on the one hand, there are still many unsolved issues related to music structure analysis and its application to MIR, so future work will continue with the aim of realizing high quality and flexible MIR methods. Less
期刊论文(18)
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科研奖励(0)
会议论文
歌唱力評価の聴取者実験と自動評価手法の検討.
歌唱能力评价的听者实验和自动评价方法的检验。
DOI: --
发表时间: 2006
期刊: 情報処理学会 音楽情報科学研究会 研究報告 Vol. 2006, no. 19
影响因子: --
作者: [Tatsuya Toyama, Atsushi Ohnishi, 中野倫靖]
通讯作者: 中野倫靖
口ドラム認識手法とそのドラム譜入力システムへの応用
口鼓识别方法及其在鼓谱输入系统中的应用
DOI: --
发表时间: 2007
期刊: 情報処理学会論文誌 48・1
影响因子: --
作者: [T.Yoshioka, T.Watanabe, et al., 中野倫靖]
通讯作者: 中野倫靖
DOI: --
发表时间: 2006
期刊:
影响因子: --
作者: [Tomoyasu Nakano;Masataka Goto;Y. Hiraga]
通讯作者: Tomoyasu Nakano;Masataka Goto;Y. Hiraga
原曲を知らない聴取者による無伴奏歌唱の歌唱力評価
不认识原曲的听众无伴奏歌唱能力评价
DOI: --
发表时间: 2006
期刊: 日本音楽知覚認知学会平成18年度春季研究発表会論文集
影响因子: --
作者: [Xingwen Xu, Shinji Kimura, Kazunari Horikawa, Takehiko Tsuchiya, Tomoyasu Nakano, T.Nakano, T.Nakano, 中野倫靖]
通讯作者: 中野倫靖
12
    Structural Analysis and Extraction of Theme-Variation Relationships and Implementation of its Analysis System
    • 批准号:
      21500092
    • 项目类别:
      Grant-in-Aid for Scientific Research (C)
    • 资助金额:
      $2.25万
    • 财政年份:
      2009
    • 负责人:
      HIRAGA Yuzuru
    • 依托单位: