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Books > Computing & IT > General theory of computing
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Music Similarity and Retrieval - An Introduction to Audio- and Web-based Strategies (Paperback, Softcover reprint of the original 1st ed. 2016)
Loot Price: R5,095
Discovery Miles 50 950
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Music Similarity and Retrieval - An Introduction to Audio- and Web-based Strategies (Paperback, Softcover reprint of the original 1st ed. 2016)
Series: The Information Retrieval Series, 36
Expected to ship within 10 - 15 working days
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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.>
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