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Artificial Perception and Music Recognition (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence) [Paperback]

Andranick S. Tanguiane (Author)

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Book Description

Publication Date: November 19, 1993 | ISBN-10: 3540573941 | ISBN-13: 978-3540573944 | Edition: 1

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.

#outer_postBodyPS { display: none; } #psGradient { display: none; } #psPlaceHolder { display: none; } #psExpand { display: none; } 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.

Product Details

Paperback: 225 pages
Publisher: Springer; 1 edition (November 19, 1993)
Language: English
ISBN-10: 3540573941
ISBN-13: 978-3540573944
Product Dimensions: 6.1 x 9.2 x 0.5 inches
Shipping Weight: 12 ounces (View shipping rates and policies)
Amazon Best Sellers Rank: #4,095,336 in Books (See Top 100 in Books)

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Inside This Book (learn more)

First Sentence:
By analogy with speech recognition, by music recognition we understand studies in computer simulation of music perception which contribute to developing systems for automatic notation of performed music. Read the first page

Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
chord spectrum, optimal data representation, correlative perception, unique deconvolution, tone spectra, acoustical contour, simple correlation approach, automatic notation, tempo tracking, voice spectra, tempo curve, timing accentuation, inharmonic tones, interval hearing, audio structure, salient intervals, generative group, rhythm recognition, rhythmic segmentation, pitch salience, acoustical processes, music recognition, voice separation, recognizing intervals, chord recognition

Key Phrases - Capitalized Phrases (CAPs): (learn more)
Correct Correct Correct Correct, Generative Number of Notation

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Citations (learn more)

This book cites 44 books:

Artificial Perception and Music Recognition (Lecture Notes in Computer Science) by Andranick S. Tanguiane on 4 pages
Human and Machine Vision (Notes and Reports in Computer Science and Applied Mathematics, 8) by Colo.) Conference on Human and Machine Vision (1981 : Denver in Back Matter (1), Back Matter (2), and Back Matter (3)
Shape From Shading (Artificial Intelligence) by Berthold K. P. Horn in Back Matter (1), and Back Matter (2)
Artificial Intelligence (3rd Edition) by Winston in Back Matter (1), and Back Matter (2)
Progress in Artificial Intelligence: 6th Portuguese Conference on Ai, Epia '93 Porto, Portugal, October 6-8, 1993 : Proceedings by portugal Portuguese Conference on Artificial Intelligence 1993 Porto in Back Matter (1), and Back Matter (2)

See all 44 books this book cites

Books on Related Topics (learn more)

Music, Gestalt, and Computing by Marc (ed.) Leman

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Music and Connectionism by Peter M. Todd

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Computer Music Modeling and Retrieval by Uffe Kock Wiil

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