Artificial Perception and Music Recognition

Andranick S. Tanguiane (eds.)3540573941, 9783540573944, 0387573941

This monograph presents the author’s studies in music recognition aimed at developing a computer system for automatic notation of performed music. The performance of such a system is supposed to be similar to that of speech recognition systems: acoustical data at the input and music scoreprinting at the output. The approach to pattern recognition employed is thatof artificial perception, based on self-organizing input data in order to segregate patterns before their identification by artificial intelligencemethods. The special merit of the approach is that it finds optimal representations of data instead of directly recognizing patterns.

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Table of contents :
Introduction….Pages 1-26
Correlativity of perception….Pages 27-44
Substantiating the model….Pages 45-76
Implementing the model….Pages 77-94
Experiments on chord recognition….Pages 95-130
Applications to rhythm recognition….Pages 131-152
Applications to music theory….Pages 153-176
General discussion….Pages 177-180
Conclusions….Pages 181-183