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035   $a(DE-He213)978-3-540-48127-0
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100   $a20121227d1993      u|             0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt
182   $cc
183   $acr
200 10$aArtificial Perception and Music Recognition$b[electronic resource] /$fby Andranick S. Tanguiane
205   $a1st ed. 1993.
210  1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d1993.
215   $a1 online resource (XV, 210 p.) 
225 1 $aLecture Notes in Artificial Intelligence ;$v746
300   $aBibliographic Level Mode of Issuance: Monograph
311   $a3-540-57394-1 
327   $aCorrelativity of perception -- Substantiating the model -- Implementing the model -- Experiments on chord recognition -- Applications to rhythm recognition -- Applications to music theory -- General discussion -- Conclusions.
330   $aThis monograph presents the author's studies in music recognition aimed at developing a computer system for automatic notation of performed music. The performance of such a system is supposed to be similar to that of speech recognition systems: acoustical data at the input and music scoreprinting at the output. The approach to pattern recognition employed is thatof artificial perception, based on self-organizing input data in order to segregate patterns before their identification by artificial intelligencemethods. The special merit of the approach is that it finds optimal representations of data instead of directly recognizing patterns.
410  0$aLecture Notes in Artificial Intelligence ;$v746
606   $aPattern recognition
606   $aArtificial intelligence
606   $aData structures (Computer science)
606   $aElectrical engineering
606   $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
606   $aData Storage Representation$3https://scigraph.springernature.com/ontologies/product-market-codes/I15025
606   $aCommunications Engineering, Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/T24035
615  0$aPattern recognition.
615  0$aArtificial intelligence.
615  0$aData structures (Computer science).
615  0$aElectrical engineering.
615 14$aPattern Recognition.
615 24$aArtificial Intelligence.
615 24$aData Storage Representation.
615 24$aCommunications Engineering, Networks.
676   $a006.4/5
700   $aTanguiane$b Andranick S$4aut$4http://id.loc.gov/vocabulary/relators/aut$0613386
906   $aBOOK
912   $a996466055303316
996   $aArtificial perception and music recognition$91489514
997   $aUNISA

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040   $aDip.to Studi Giuridici$bita
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100 1 $aGiuffrè, Vincenzo$0352913
245 10$aDocumenti testamentari romani /$ca cura di Vincenzo Giuffre
260   $aMilano :$bA. Giuffré,$c1974
300   $a58 p. ;$c25 cm.
490 0 $aTesti per esercitazioni, Universita degli studi di Camerino, Facolta di giurisprudenza. Sez. 2 ;$v3
650  4$aFonti
650  4$aTestamento$xDiritto romano$xFonti
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