| Description |
1 online resource (xx, 299 pages) : illustrations (some color). |
|
text file PDF |
| Physical Medium |
polychrome |
| Series |
The information retrieval series,
1387-5264 ;
volume 36
|
|
Information retrieval series ; 36.
|
| Bibliography |
Includes bibliographical references and index. |
| Contents |
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. |
| Summary |
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.>. |
| Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
| Subject |
Music -- Computer network resources.
|
|
Music -- Computer network resources. |
|
Information retrieval.
|
|
Information retrieval. |
|
Music -- Information technology.
|
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Music. |
|
Information theory in music.
|
|
Information theory in music. |
|
Information technology. |
|
LANGUAGE ARTS & DISCIPLINES -- Library & Information Science -- General. |
| Genre/Form |
Electronic books.
|
|
Electronic books.
|
| Added Author |
Schedl, Markus, author.
|
| Other Form: |
Print version: Knees, Peter. Music similarity and retrieval : an introduction to audio- and web-based strategies. Berlin, [Germany] ; Heidelberg, [Germany] : Springer, ©2016 xx, 299 pages Information retrieval series ; Volume 36 1387-5264 9783662497203 |
| ISBN |
9783662497227 (electronic book) |
|
3662497220 (electronic book) |
|
3662497204 |
|
9783662497203 |
|
9783662497203 (print) |
| Standard No. |
10.1007/978-3-662-49722-7 |
|
10.1007/978-3-662-49 |
|
