Artificial Perception and Music Recognition

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.