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Tempo and beat analysis of acoustic musical signals

J. Acoust. Soc. Am. Volume 103, Issue 1, pp. 588-601 (January 1998)

Issue Date: January 1998
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Eric D. Scheirer
Machine Listening Group, E15-401D MIT Media Laboratory, Cambridge, Massachusetts 02139
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. ©1998 Acoustical Society of America.
History: Received 27 December 1996; revised 26 August 1997; accepted 15 September 1997
Permalink: http://dx.doi.org/10.1121/1.421129

KEYWORDS and PACS

Keywords
PACS
  • 43.75.Yy
    Acoustics Music and musical instruments Instrumentation and techniques for measurements
  • 43.75.St
    Acoustics Music and musical instruments Musical performance analysis and training
  • YEAR: 1998

PUBLICATION DATA

ISSN:
0001-4966 (print)  
Publisher:
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