Analysis of Vowels in Sung Queries for a Music Information Retrieval System
dc.contributor.author | Mellody, Maureen | en_US |
dc.contributor.author | Bartsch, Mark A. | en_US |
dc.contributor.author | Wakefield, Gregory H. | en_US |
dc.date.accessioned | 2006-09-11T17:50:55Z | |
dc.date.available | 2006-09-11T17:50:55Z | |
dc.date.issued | 2003-07 | en_US |
dc.identifier.citation | Mellody, Maureen; Bartsch, Mark A.; Wakefield, Gregory H.; (2003). "Analysis of Vowels in Sung Queries for a Music Information Retrieval System." Journal of Intelligent Information Systems 21(1): 35-52. <http://hdl.handle.net/2027.42/46493> | en_US |
dc.identifier.issn | 0925-9902 | en_US |
dc.identifier.issn | 1573-7675 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/46493 | |
dc.description.abstract | A method for analyzing and categorizing the vowels of a sung query is described and analyzed. This query system uses a combination of spectral analysis and parametric clustering techniques to divide a single query into different vowel regions. The method is applied separately to each query, so no training or repeated measures are necessary. The vowel regions are then transformed into strings and string search methods are used to compare the results from various songs. We apply this method to a small pilot study consisting of 40 sung queries from each of 7 songs. Approximately 60% of the queries are correctly identified with their corresponding song, using only the vowel stream as the identifier. | en_US |
dc.format.extent | 115850 bytes | |
dc.format.extent | 3115 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Kluwer Academic Publishers; Springer Science+Business Media | en_US |
dc.subject.other | Computer Science | en_US |
dc.subject.other | Data Structures, Cryptology and Information Theory | en_US |
dc.subject.other | Artificial Intelligence (Incl. Robotics) | en_US |
dc.subject.other | Document Preparation and Text Processing | en_US |
dc.subject.other | Business Information Systems | en_US |
dc.subject.other | Music Information Retrieval | en_US |
dc.subject.other | Vowels | en_US |
dc.subject.other | Singing | en_US |
dc.subject.other | Query by Humming | en_US |
dc.title | Analysis of Vowels in Sung Queries for a Music Information Retrieval System | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Philosophy | en_US |
dc.subject.hlbsecondlevel | Computer Science | en_US |
dc.subject.hlbtoplevel | Engineering | en_US |
dc.subject.hlbtoplevel | Humanities | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Applied Physics Program, University of Michigan, Ann Arbor, Michigan, USA | en_US |
dc.contributor.affiliationum | Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, Michigan, USA | en_US |
dc.contributor.affiliationum | Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, Michigan, USA | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/46493/1/10844_2004_Article_5122824.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1023/A:1023501817044 | en_US |
dc.identifier.source | Journal of Intelligent Information Systems | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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