2006 Fiscal Year Final Research Report Summary
Study of Music Information Retrieval Methods Using Music Structure
| Project/Area Number |
17500054
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Media informatics/Database
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| Research Institution | University of Tsukuba |
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Principal Investigator |
HIRAGA Yuzuru University of Tsukuba, Graduate School of Library, Information and Media Studies, Professor, 大学院図書館情報メディア研究科, 教授 (80165167)
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| Project Period (FY) |
2005 – 2006
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| Keywords | Music Information Retrieval / Music Structure Analysis / Music Database / Music Feature Extraction / Music Cognition / Singing Skill Evaluation / Singing Errors |
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| Research Abstract |
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
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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
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Research Products
(14 results)
