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Artificial Perception and Music Recognition - Andranick S. Tanguiane
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Andranick S. Tanguiane:

Artificial Perception and Music Recognition - novo libro

1993, ISBN: 9783540573944

Kartoniert, 232 Seiten, 235mm x 155mm x 13mm, Sprache(n): eng This monograph presents the author's studies in music recognition aimed at developing a computer system for automatic notatio… mais…

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Artificial Perception and Music Recognition
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Artificial Perception and Music Recognition - novo libro

ISBN: 9783540573944

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 supp… mais…

Nr. 978-3-540-57394-4. Custos de envio:Worldwide free shipping, , DE. (EUR 0.00)
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Tanguiane, Andranick S.:
Artificial Perception and Music Recognition - Livro de bolso

1993

ISBN: 3540573941

[EAN: 9783540573944], Gebraucht, guter Zustand, [SC: 0.0], [PU: Springer Berlin], SELBSTORGANISATION,COGNITION,MUSIC,KÜNSTLICHE WAHRNEHMUNG,PERFORMANCE,ARTIFICIAL INTELLIGENCE,MUSIC RECOG… mais…

NOT NEW BOOK. Custos de envio:Versandkostenfrei. (EUR 0.00) Buchpark, Trebbin, Germany [83435977] [Rating: 5 (von 5)]
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Artificial Perception and Music Recognition - Andranick S. Tanguiane
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Andranick S. Tanguiane:
Artificial Perception and Music Recognition - Livro de bolso

ISBN: 9783540573944

*Artificial Perception and Music Recognition* - Auflage 1993 / Taschenbuch für 53.49 € / Aus dem Bereich: Bücher, Ratgeber, Computer & Internet Medien > Bücher nein Buch (kartoniert) Hard… mais…

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Andranick S. Tanguiane:
Artificial Perception and Music Recognition (Lecture Notes in Computer Science, 746) - Livro de bolso

1993, ISBN: 3540573941

[EAN: 9783540573944], Neubuch, [PU: Springer], Clean and crisp and new!, Books

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Artificial Perception and Music Recognition

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.

Dados detalhados do livro - Artificial Perception and Music Recognition


EAN (ISBN-13): 9783540573944
ISBN (ISBN-10): 3540573941
Livro de bolso
Ano de publicação: 1993
Editor/Editora: Springer Berlin Heidelberg
232 Páginas
Peso: 0,357 kg
Língua: eng/Englisch

Livro na base de dados desde 2007-10-24T13:49:13+01:00 (Lisbon)
Página de detalhes modificada pela última vez em 2024-03-04T22:56:19+00:00 (Lisbon)
Número ISBN/EAN: 3540573941

Número ISBN - Ortografia alternativa:
3-540-57394-1, 978-3-540-57394-4
Ortografia alternativa e termos de pesquisa relacionados:
Autor do livro: tanguiane
Título do livro: science music, computer music, artificial perception, the note, lecture notes artificial intelligence


Dados da editora

Autor: Andranick S. Tanguiane
Título: Lecture Notes in Artificial Intelligence; Lecture Notes in Computer Science; Artificial Perception and Music Recognition
Editora: Springer; Springer Berlin
210 Páginas
Ano de publicação: 1993-10-20
Berlin; Heidelberg; DE
Língua: Inglês
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
Available
XV, 210 p.

BC; Hardcover, Softcover / Informatik, EDV/Anwendungs-Software; Mustererkennung; Verstehen; Artificial Perception; Computer Music; Computermusik; Künstliche Wahrnehmung; Music; Music Recognition; Musikerkennung; Performance; Recognition; Selbstorganisation; artificial intelligence; cognition; intelligence; pattern recognition; speech recognition; Automated Pattern Recognition; Artificial Intelligence; Data Storage Representation; Communications Engineering, Networks; Künstliche Intelligenz; Datenbanken; Nachrichtententechnik, Telekommunikation; EA

Correlativity of perception.- Substantiating the model.- Implementing the model.- Experiments on chord recognition.- Applications to rhythm recognition.- Applications to music theory.- General discussion.- Conclusions.

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