Establishing the tonal context for musical pattern recognition

Author

Shmulevich, Ilya ; Coyle, Edward J.

Author_Institution

Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA

fYear

1997

fDate

19-22, Oct 1997

Abstract

We develop a method for establishing tonal contexts of musical patterns in a musical composition. This is subsequently incorporated into a system for recognition of musical patterns. Krumhansl´s (1990) key-finding algorithm is used as a basis. The sequence of maximum correlations that it outputs is smoothed with a cubic spline and is used to determine weights for perceptual and absolute pitch errors. Statistically significant maximum correlations are used to create the assigned key sequence, which is then median filtered to improve the structure of the output of the key finding algorithm

Keywords

acoustic correlation; acoustic filters; error analysis; median filters; music; pattern recognition; smoothing methods; splines (mathematics); absolute pitch errors; cubic spline smoothing; key finding algorithm; key sequence; maximum correlations; median filter; musical composition; musical pattern recognition; perceptual errors; tonal context; weights; Auditory system; Encoding; Humans; Pattern recognition; Rhythm; Spline; Target recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Applications of Signal Processing to Audio and Acoustics, 1997. 1997 IEEE ASSP Workshop on

Conference_Location

New Paltz, NY

Print_ISBN

0-7803-3908-8

Type

conf

DOI

10.1109/ASPAA.1997.625608

Filename

625608