Advances in music information retrieval /

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Bibliographic Details
Imprint:Berlin ; Heidelberg : Springer-Verlag, ©2010.
Description:1 online resource (xii, 410 pages).
Language:English
Series:Studies in computational intelligence ; v. 274
Studies in computational intelligence ; v. 274.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11074158
Hidden Bibliographic Details
Other authors / contributors:Raś, Zbigniew.
Wieczorkowska, Alicja A.
ISBN:9783642116742
3642116744
128000343X
9781280003431
9783642116735
3642116736
Notes:Includes bibliographical references and index.
Print version record.
Summary:Sound waves propagate through various media, and allow communication or entertainment for us, humans. Music we hear or create can be perceived in such aspects as rhythm, melody, harmony, timbre, or mood. All these elements of music can be of interest for users of music information retrieval systems. Since vast music repositories are available for everyone in everyday use (both in private collections, and in the Internet), it is desirable and becomes necessary to browse music collections by contents. Therefore, music information retrieval can be potentially of interest for every user of computers and the Internet. There is a lot of research performed in music information retrieval domain, and the outcomes, as well as trends in this research, are certainly worth popularizing. This idea motivated us to prepare the book on Advances in Music Information Retrieval. It is divided into four sections: MIR Methods and Platforms, Harmony, Music Similarity, and Content Based Identification and Retrieval. Glossary of basic terms is given at the end of the book, to familiarize readers with vocabulary referring to music information retrieval.
Other form:Print version: Advances in music information retrieval. Springer Verlag 2010 9783642116735

MARC

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245 0 0 |a Advances in music information retrieval /  |c Zbigniew W. Raś and Alicja A. Wieczorkowska (Eds.). 
260 |a Berlin ;  |a Heidelberg :  |b Springer-Verlag,  |c ©2010. 
300 |a 1 online resource (xii, 410 pages). 
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490 1 |a Studies in computational intelligence ;  |v v. 274 
504 |a Includes bibliographical references and index. 
505 0 |a Music information retrieval : indexing, representations, and platforms. Indexing techniques for non-metric music dissimilarity measures / Rainer Typke, Agatha Walczak-Typke -- Clustering driven cascade classifiers for multi-indexing of polyphonic music by instruments / Wenxin Jiang, Zbigniew W. Raś, Alicja A. Wieczorkowska -- Representations of music in ranking rhythmic hypotheses / Jaroslaw Wojcik, Bozena Kostek -- Mid-level representations of musical audio signals for music information retrieval / Tetsuro Kitahara -- The music information retrieval evaluation eXchange : some observations and insights / J. Stephen Downie [and others] -- Harmony. Chord analysis using ensemble constraints / David Gerhard, Xinglin Zhang -- BREVE : an HMPerceptron-based chord recognition system / Daniele P. Radicioni, Roberto Esposito -- Analysis of chord progression data / Brandt Absolu, Tao Li, Mitsunori Ogihara -- Content-based identification and retrieval of musical information. Statistical music modeling aimed at identification and alignment / Riccardo Miotto, Nicola Montecchio, Nicola Orio -- Harmonic and percussive sound separation and its application to MIR-related tasks / Nobutaka Ono [and others] -- Violin sound quality : expert judgements and objective measurements / Piotr Wrzeciono, Krzysztof Marasek -- Emotion based MIDI files retrieval system / Jacek Grekow, Zbigniew W. Raś -- On search for emotion in Hindusthani vocal music / Alicja A. Wieczorkowska [and others] -- Music similarity. Audio cover song identification and similarity : background, approaches, evaluation, and beyond / Joan Serrà, Emilia Gómez, Perfecto Herrera -- Multimodal aspects of music retrieval : audio, song lyrics, and beyond? / Rudolf Mayer, Andreas Rauber -- Melodic grouping in music information retrieval : new methods and applications / Marcus T. Pearce, Daniel Müllensiefen, Geraint A. Wiggins -- Automatic musical genre classification and artificial immune recognition system / Shyamala Doraisamy, Shahram Golzari. 
588 0 |a Print version record. 
520 |a Sound waves propagate through various media, and allow communication or entertainment for us, humans. Music we hear or create can be perceived in such aspects as rhythm, melody, harmony, timbre, or mood. All these elements of music can be of interest for users of music information retrieval systems. Since vast music repositories are available for everyone in everyday use (both in private collections, and in the Internet), it is desirable and becomes necessary to browse music collections by contents. Therefore, music information retrieval can be potentially of interest for every user of computers and the Internet. There is a lot of research performed in music information retrieval domain, and the outcomes, as well as trends in this research, are certainly worth popularizing. This idea motivated us to prepare the book on Advances in Music Information Retrieval. It is divided into four sections: MIR Methods and Platforms, Harmony, Music Similarity, and Content Based Identification and Retrieval. Glossary of basic terms is given at the end of the book, to familiarize readers with vocabulary referring to music information retrieval. 
650 0 |a Information storage and retrieval systems  |x Music. 
650 0 |a Music  |x Data processing.  |0 http://id.loc.gov/authorities/subjects/sh85088783 
650 4 |a Information storage and retrieval systems  |x Music. 
650 4 |a Musical analysis  |x Data processing. 
650 6 |a Systèmes d'information  |x Musique. 
650 6 |a Musique  |x Informatique. 
650 7 |a Ingénierie.  |2 eclas 
650 7 |a Information storage and retrieval systems.  |2 fast  |0 (OCoLC)fst00972781 
650 7 |a Music  |x Data processing.  |2 fast  |0 (OCoLC)fst01030309 
655 4 |a Electronic books. 
655 7 |a Music.  |2 fast  |0 (OCoLC)fst01423855 
700 1 |a Raś, Zbigniew.  |0 http://id.loc.gov/authorities/names/n84236471  |1 http://viaf.org/viaf/102455002 
700 1 |a Wieczorkowska, Alicja A.  |0 http://id.loc.gov/authorities/names/no2010128858  |1 http://viaf.org/viaf/152856616 
776 0 8 |i Print version:  |t Advances in music information retrieval.  |d Springer Verlag 2010  |z 9783642116735  |w (DLC) 2009943434  |w (OCoLC)502034129 
830 0 |a Studies in computational intelligence ;  |v v. 274. 
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