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- Eric D. Scheirer
- Machine Listening Group, E15-401D MIT Media Laboratory, Cambridge, Massachusetts 02139
抄録
<jats:p>A method is presented for using a small number of bandpass filters and banks of parallel comb filters to analyze the tempo of, and extract the beat from, musical signals of arbitrary polyphonic complexity and containing arbitrary timbres. This analysis is performed causally, and can be used predictively to guess when beats will occur in the future. Results in a short validation experiment demonstrate that the performance of the algorithm is similar to the performance of human listeners in a variety of musical situations. Aspects of the algorithm are discussed in relation to previous high-level cognitive models of beat tracking.</jats:p>
収録刊行物
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- The Journal of the Acoustical Society of America
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The Journal of the Acoustical Society of America 103 (1), 588-601, 1998-01-01
Acoustical Society of America (ASA)
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詳細情報 詳細情報について
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- CRID
- 1360011146454994560
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- DOI
- 10.1121/1.421129
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- ISSN
- 15208524
- 00014966
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- データソース種別
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- Crossref