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Table of contents

  1. Front Matter
  2. Pages 1-26
  3. Pages 177-180
  4. Pages 181-183
  5. Back Matter

About this book

Introduction

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.

Keywords

Artificial Perception Computer Music Computermusik Künstliche Wahrnehmung Music Music Recognition Musikerkennung Performance Recognition Selbstorganisation artificial intelligence cognition intelligence pattern recognition speech recognition

Bibliographic information

  • DOI https://doi.org/10.1007/BFb0019384
  • Copyright Information Springer-Verlag Berlin Heidelberg 1993
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-57394-4
  • Online ISBN 978-3-540-48127-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site