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.
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This monograph presents the author s studies in musicrecognition aimed at developing a computer system forautomatic notation of performed music. The performance ofsuch a system is supposed to be similar to that of speechrecognition systems: acous. N° de réf. du vendeur 4894301
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This monograph presents the author's studies in musicrecognition aimed at developing a computer system forautomatic notation of performed music. The performance ofsuch a system is supposed to be similar to that of speechrecognition systems: acoustical data at the input and musicscoreprinting at the output.The approach to pattern recognition employed is thatofartificial perception, based on self-organizing input datain order to segregate patterns before their identificationby artificial intelligencemethods. The special merit of theapproach is that it finds optimal representations of datainstead of directly recognizing patterns. 232 pp. Englisch. N° de réf. du vendeur 9783540573944
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This monograph presents the author's studies in musicrecognition 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 232 pp. Englisch. N° de réf. du vendeur 9783540573944
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This monograph presents the author's studies in musicrecognition aimed at developing a computer system forautomatic notation of performed music. The performance ofsuch a system is supposed to be similar to that of speechrecognition systems: acoustical data at the input and musicscoreprinting at the output.The approach to pattern recognition employed is thatofartificial perception, based on self-organizing input datain order to segregate patterns before their identificationby artificial intelligencemethods. The special merit of theapproach is that it finds optimal representations of datainstead of directly recognizing patterns. N° de réf. du vendeur 9783540573944
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Taschenbuch. Etat : Neu. Artificial Perception and Music Recognition | Andranick S. Tanguiane | Taschenbuch | xv | Englisch | 1993 | Springer | EAN 9783540573944 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. N° de réf. du vendeur 102131854
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Etat : Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | This monograph presents the author's studies in musicrecognition aimed at developing a computer system forautomatic notation of performed music. The performance ofsuch a system is supposed to be similar to that of speechrecognition systems: acoustical data at the input and musicscoreprinting at the output.The approach to pattern recognition employed is thatofartificial perception, based on self-organizing input datain order to segregate patterns before their identificationby artificial intelligencemethods. The special merit of theapproach is that it finds optimal representations of datainstead of directly recognizing patterns. N° de réf. du vendeur 837247/2
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