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Artificial Perception and Music Recognition / by Andranick S. Tanguiane
(Lecture Notes in Artificial Intelligence. ISSN:29459141 ; 746)
版 | 1st ed. 1993. |
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出版者 | Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer |
出版年 | 1993 |
本文言語 | 英語 |
大きさ | XV, 210 p : online resource |
著者標目 | *Tanguiane, Andranick S author SpringerLink (Online service) |
件 名 | LCSH:Pattern recognition systems LCSH:Artificial intelligence LCSH:Information retrieval LCSH:Computer architecture LCSH:Telecommunication FREE:Automated Pattern Recognition FREE:Artificial Intelligence FREE:Data Storage Representation FREE:Communications Engineering, Networks |
一般注記 | Correlativity of perception -- Substantiating the model -- Implementing the model -- Experiments on chord recognition -- Applications to rhythm recognition -- Applications to music theory -- General discussion -- Conclusions 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 HTTP:URL=https://doi.org/10.1007/BFb0019384 |
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電子ブック | オンライン | 電子ブック |
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Springer eBooks | 9783540481270 |
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EB00225430 |