Beschreibung

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.

Klappentext

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.

Inhalt
Correlativity of perception.- Substantiating the model.- Implementing the model.- Experiments on chord recognition.- Applications to rhythm recognition.- Applications to music theory.- General discussion.- Conclusions.

Produktinformationen

Titel:	Artificial Perception and Music Recognition
Autor:	Andranick S. Tanguiane
EAN:	9783540573944
ISBN:	3540573941
Format:	Kartonierter Einband
Herausgeber:	Springer Berlin Heidelberg
Anzahl Seiten:	232
Gewicht:	359g
Größe:	H235mm x B155mm x T12mm
Jahr:	1993
Untertitel:	Englisch
Auflage:	1993