Music Similarity and Retrieval (Record no. 51631)

000 -LEADER
fixed length control field 04327nam a22005295i 4500
001 - CONTROL NUMBER
control field 978-3-662-49722-7
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200420220216.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 160528s2016 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783662497227
-- 978-3-662-49722-7
082 04 - CLASSIFICATION NUMBER
Call Number 025.04
100 1# - AUTHOR NAME
Author Knees, Peter.
245 10 - TITLE STATEMENT
Title Music Similarity and Retrieval
Sub Title An Introduction to Audio- and Web-based Strategies /
300 ## - PHYSICAL DESCRIPTION
Number of Pages XX, 299 p. 82 illus., 47 illus. in color.
490 1# - SERIES STATEMENT
Series statement The Information Retrieval Series,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 1 Introduction to Music Similarity and Retrieval -- 2 Basic Methods of Audio Signal Processing -- 3 Audio Feature Extraction for Similarity Measurement -- 4 Semantic Labeling of Music -- 5 Contextual Music Meta-data: Comparison and Sources -- 6 Contextual Music Similarity, Indexing, and Retrieval -- 7 Listener-centered Data Sources and Aspects: Traces of Music Interaction -- 8 Collaborative Music Similarity and Recommendation -- 9 Applications -- 10 Grand Challenges and Outlook -- Appendix.
520 ## - SUMMARY, ETC.
Summary, etc This book provides a summary of the manifold audio- and web-based approaches to music information retrieval (MIR) research. In contrast to other books dealing solely with music signal processing, it addresses additional cultural and listener-centric aspects and thus provides a more holistic view. Consequently, the text includes methods operating on features extracted directly from the audio signal, as well as methods operating on features extracted from contextual information, either the cultural context of music as represented on the web or the user and usage context of music. Following the prevalent document-centered paradigm of information retrieval, the book addresses models of music similarity that extract computational features to describe an entity that represents music on any level (e.g., song, album, or artist), and methods to calculate the similarity between them. While this perspective and the representations discussed cannot describe all musical dimensions, they enable us to effectively find music of similar qualities by providing abstract summarizations of musical artifacts from different modalities. The text at hand provides a comprehensive and accessible introduction to the topics of music search, retrieval, and recommendation from an academic perspective. It will not only allow those new to the field to quickly access MIR from an information retrieval point of view but also raise awareness for the developments of the music domain within the greater IR community. In this regard, Part I deals with content-based MIR, in particular the extraction of features from the music signal and similarity calculation for content-based retrieval. Part II subsequently addresses MIR methods that make use of the digitally accessible cultural context of music. Part III addresses methods of collaborative filtering and user-aware and multi-modal retrieval, while Part IV explores current and future applications of music retrieval and recommendation.>.
700 1# - AUTHOR 2
Author 2 Schedl, Markus.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-662-49722-7
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Berlin, Heidelberg :
-- Springer Berlin Heidelberg :
-- Imprint: Springer,
-- 2016.
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-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
338 ## -
-- online resource
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347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer science.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Big data.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Information storage and retrieval.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Application software.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer Science.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Information Storage and Retrieval.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer Appl. in Arts and Humanities.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Signal, Image and Speech Processing.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Big Data/Analytics.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 1387-5264 ;
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-- ZDB-2-SCS

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