Buch, Englisch, Band 746, 210 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 359 g
Buch, Englisch, Band 746, 210 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 359 g
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-540-57394-4
Verlag: Springer Berlin Heidelberg
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Fernmeldetechnik
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Grafikprogrammierung
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenkompression, Dokumentaustauschformate
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik
Weitere Infos & Material
Correlativity of perception.- Substantiating the model.- Implementing the model.- Experiments on chord recognition.- Applications to rhythm recognition.- Applications to music theory.- General discussion.- Conclusions.
