Artificial Perception and Music Recognition / Edition 1

Artificial Perception and Music Recognition / Edition 1

by Andranick S. Tanguiane
     
 

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

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Overview

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.

Product Details

ISBN-13:
9783540573944
Publisher:
Springer Berlin Heidelberg
Publication date:
11/19/1993
Series:
Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence Series, #746
Edition description:
1993
Pages:
210
Product dimensions:
0.49(w) x 6.14(h) x 9.21(d)

Table of Contents

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

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