Artificial perception and music recognition
Author(s)
Bibliographic Information
Artificial perception and music recognition
（Lecture notes in computer science, 746 . Lecture notes in artifical intelligence）
Springer-Verlag, c1993
- : gw
- : us
Available at / 54 libraries
-
Library, Research Institute for Mathematical Sciences, Kyoto University数研
L/N||LNCS||74693045846
-
University of Tsukuba Library, Library on Library and Information Science
: gw007.08:L-49:746931006650
-
No Libraries matched.
- Remove all filters.
Note
Includes bibliographical references and indexes
Description and Table of Contents
Description
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.
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.
by "Nielsen BookData"
