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Music Similarity and Retrieval = An Introduction to Audio- and Web-based Strategies /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Music Similarity and Retrieval/ by Peter Knees, Markus Schedl.
Reminder of title:	An Introduction to Audio- and Web-based Strategies /
Author:	Knees, Peter.
other author:	Schedl, Markus.
Description:	XX, 299 p. 82 illus., 47 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Information storage and retrieval. -
Online resource:	https://doi.org/10.1007/978-3-662-49722-7
ISBN:	9783662497227

Music Similarity and Retrieval = An Introduction to Audio- and Web-based Strategies /
Knees, Peter.

Music Similarity and RetrievalAn Introduction to Audio- and Web-based Strategies /[electronic resource] :by Peter Knees, Markus Schedl. - 1st ed. 2016. - XX, 299 p. 82 illus., 47 illus. in color.online resource. - The Information Retrieval Series,361871-7500 ;. - The Information Retrieval Series,35.

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.

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.>.

ISBN: 9783662497227

Standard No.: 10.1007/978-3-662-49722-7doiSubjects--Topical Terms:

1069252
Information storage and retrieval.

LC Class. No.: QA75.5-76.95

Dewey Class. No.: 025.04

Music Similarity and Retrieval = An Introduction to Audio- and Web-based Strategies /
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