Title :
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
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;
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
DOI :
10.1109/ASPAA.1997.625608
