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Books on the topic 'Music information processing'

Author: Grafiati

Published: 9 March 2023

Last updated: 31 July 2025

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1

Müller, Meinard. Information retrieval for music and motion. Springer, 2007.

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2

H, Chen Homer, ed. Music emotion recognition. CRC, 2011.

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3

Taraeva, G. R., and T. F. Shak. Muzyka v informat︠s︡ionnom mire: Nauka, tvorchestvo, pedagogika : sbornik nauchnykh stateĭ = Music in the world of information : science, creative work, pedagogics : collection of articles. [Izd-vo Rostovskoĭ gos. konservatorii], 2004.

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4

International Conference on Music Information Retrieval (7th 2006 Victoria, British Columbia, Canada). ISMIR 2006: 7th International Conference on Music Information Retrieval : Proceedings : Fairmont Empress Hotel, Victoria, BC, Canada, 8-12 October, 2006. Published by University of Victoria, 2006.

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5

1943-, Fingerhut Michael, and IRCAM (Research institute : France), eds. ISMIR 2002 conference proceedings: Third International Conference on Music Information Retrieval, October 13-17, 2002, IRCAM-Centre Pompidou, Paris, France. IRCAM-Centre Pompidou, 2002.

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6

Celma, Òscar. Music recommendation and discovery: The long tail, long fail, and long play in the digital music space. Springer, 2010.

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7

Computer Music Modeling and Retrieval Symposium (10th 2010 Malaga, Spain). Exploring music contents: 7th International Symposium, CMMR 2010, Malaga, Spain, June 21-24, 2010 : revised papers. Springer, 2011.

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8

Ystad, Sølvi. Speech, Sound and Music Processing: Embracing Research in India: 8th International Symposium, CMMR 2011, 20th International Symposium, FRSM 2011, Bhubaneswar, India, March 9-12, 2011, Revised Selected Papers. Springer Berlin Heidelberg, 2012.

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9

David, Hutchison. Computer Music Modeling and Retrieval. Genesis of Meaning in Sound and Music: 5th International Symposium, CMMR 2008 Copenhagen, Denmark, May 19-23, 2008 Revised Papers. Springer Berlin Heidelberg, 2009.

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10

Haus, Goffredo, and Denis Baggi. Music navigation with symbols and layers: Toward content browsing with IEEE 1599 XML encoding. John Wiley & Sons, 2012.

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11

Tim, Crawford, and Gibson Lorna 1977-, eds. Modern methods for musicology: Prospects, proposals, and realities. Ashgate, 2008.

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12

CMMR (6th 2009 Copenhagen, Denmark). Auditory display: 6th international symposium, CMMR/ICAD 2009, Copenhagen, Denmark, May 18-22, 2009 : revised papers. Springer, 2010.

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13

Ehn, Hope. On-line resources for classical and academic musicians: A guide through the wilds of the Internet : newsgroups, mailing lists, and other resources for early music, classical music, musicology, music theory, and ethnomusicology : with a guide to basic list-server commands for subscribing to mailing lists and getting files by e-mail. H. Ehn, 1994.

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14

Ehn, Hope. On-line resources for classical and academic musicians: A guide through the wilds of the Internet : newsgroups, mailing lists, and other resources for early music, classical music, musicology, music theory, and ethnomusicology : with a guide to basic list-server commands for subscribing to mailing lists and getting files by e-mail. H. Ehn, 1994.

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15

Ehn, Hope. On-line resources for classical and academic musicians: A guide through the wilds of the Internet : newsgroups, mailing lists, and other resources for early music, classical music, musicology, music theory, and ethnomusicology : with a guide to basic list-server commands for subscribing to mailing lists and getting files by e-mail. H. Ehn, 1994.

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16

Ehn, Hope. On-line resources for classical and academic musicians: A guide through the wilds of the Internet : newsgroups, mailings lists, and other resources for early music, classical music, musicology, music theory, and ethnomusicology : with a guide to basic list-server commands for subscribing to mailing lists and getting files by e-mail. H. Ehn, 1994.

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17

Patterson, Jeff. Audio on the Web. Peachpit Press, 1998.

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18

Patterson, Jeff. Audio on the Web: [the official IUMA guide]. Peachpit Press, 1998.

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19

Baldridge, Aimee. Organize your digital life: How to store your photographs, music, videos, and personal documents in a digital world. National Geographic, 2009.

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20

Baldridge, Aimee. Organize your digital life: How to store your photographs, music, videos, and personal documents in a digital world. National Geographic, 2009.

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21

Institut für Neue Musik und Musikerziehung Darmstadt., ed. Hören und Sehen: Musik audiovisuell : Wahrnehmung im Wandel : Produktion, Rezeption, Analyse, Vermittlung. Schott, 2005.

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22

Ehn, Hope. On-line resources for classical and academic musicians: A guide through the wilds of the Internet. H. Ehn, 1994.

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23

Ehn, Hope. On-line resources for classical and academic musicians: A guide through the wilds of the Internet. H. Ehn, 1994.

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24

Ehn, Hope. On-line resources for classical and academic musicians: A guide through the wilds of the Internet. H. Ehn, 1994.

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25

V, Rasputina M., ed. Muzyka i informatika. Moskovskai︠a︡ gos. konservatorii︠a︡ im. P.I. Chaĭkovskogo, 1999.

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26

Argamon, Shlomo. The Structure of Style: Algorithmic Approaches to Understanding Manner and Meaning. Springer-Verlag Berlin Heidelberg, 2010.

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27

Scipio, Agostino Di. Circuiti del tempo: Un percorso storico-critico nella creatività musicale elettroacustica e informatica. Libreria musicale italiana, 2021.

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28

Tangari, Nicola. Documentazione musicale e informatica: Esempi di applicazione. M. Congedo, 2005.

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29

Office, General Accounting. District of Columbia: Information on health care costs : report to Congressional requesters. The Office, 1996.

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30

Symposium on Microprocessing and Microprogramming (25th 1999 Milan, Italy). 25th Euromicro Conference: Informatics : theory and practice for the new millennium, Milan, Italy, September 8-10, 1999 : proceedings. IEEE Computer Society, 1999.

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31

Ras, Zbigniew W., and Alicja Wieczorkowska. Advances in Music Information Retrieval. Springer, 2010.

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32

Ras, Zbigniew W., and Alicja Wieczorkowska. Advances in Music Information Retrieval. Springer, 2012.

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33

Ras, Zbigniew W., and Alicja Wieczorkowska. Advances in Music Information Retrieval. Springer London, Limited, 2010.

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34

Müller, Meinard. Information Retrieval for Music and Motion. Springer, 2010.

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35

Müller, Meinard. Information Retrieval for Music and Motion. Springer London, Limited, 2007.

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36

Music data mining. Taylor & Francis, 2011.

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37

Yang, Yi-Hsuan, and Homer H. Chen. Music Emotion Recognition. Taylor & Francis Group, 2011.

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38

Knees, Peter. Music Similarity and Retrieval: An Introduction to Audio- and Web-based Strategies. Springer, 2018.

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39

Knees, Peter, and Markus Schedl. Music Similarity and Retrieval: An Introduction to Audio- and Web-Based Strategies. Springer London, Limited, 2016.

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40

Knees, Peter, and Markus Schedl. Music Similarity and Retrieval: An Introduction to Audio- and Web-Based Strategies. Springer, 2016.

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41

Kostek, Bozena. Perception-Based Data Processing in Acoustics: Applications to Music Information Retrieval and Psychophysiology of Hearing. Springer, 2010.

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42

Music Emotion Recognition. CRC Press LLC, 2011.

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43

Yang, Yi-Hsuan, and Homer H. Chen. Music Emotion Recognition. Taylor & Francis Group, 2011.

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44

Yang, Yi-Hsuan, and Homer H. Chen. Music Emotion Recognition. Taylor & Francis Group, 2011.

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45

Yang, Yi-Hsuan, and Homer H. Chen. Music Emotion Recognition. Taylor & Francis Group, 2011.

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46

From Sounds to Music and Emotions: 9th International Symposium CMMR 2012, London, UK, June 19-22, 2012, Revised Selected Papers. Springer, 2013.

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47

Speech Sound and Music Processing Embracing Research in India Lecture Notes in Computer Science Information Systems and. Springer, 2012.

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48

Kostek, Bozena. Perception-Based Data Processing in Acoustics: Applications to Music Information Retrieval and Psychophysiology of Hearing (Studies in Computational Intelligence) ... (Studies in Computational Intelligence). Springer, 2005.

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49

Patel, Aniruddh D. Music and the brain. Edited by Susan Hallam, Ian Cross, and Michael Thaut. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780199298457.013.0019.

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Abstract:

This article presents the evidence for links between music and language. The focus is on perceptual processes, and on links between mechanisms involved in the processing of instrumental music and of ordinary, day-to- day language. Music and language may have a number of common processes that act on distinct types of information, e.g. on musical melodies vs. linguistic intonation contours, or on chord progressions vs. sequences of words. Thus, the distinction between the domain specificity of information vs. the generality of processing is an essential conceptual tool for research that examines

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50

Gibson, Lorna, and Tim Crawford. Modern Methods for Musicology: Prospects, Proposals, and Realities. Taylor & Francis Group, 2016.

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