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Music Retrieval


Music Retrieval
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Music Retrieval


Music Retrieval
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Author : Nicola Orio
language : en
Publisher: Now Publishers Inc
Release Date : 2006

Music Retrieval written by Nicola Orio and has been published by Now Publishers Inc this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Computers categories.


Music Accessing and Retrieval is the first comprehensive survey of the vast new field of Music Information Retrieval (MIR). It describes a number of issues which are peculiar to the language of music - including forms, formats, and dimensions of music - together with the typologies of users and their information needs. To fulfil these needs a number of approaches are discussed, from direct search to information filtering and clustering of music documents. The emphasis is on tools, techniques, and approaches for content-based MIR, rather than on the systems that implement them. The interested reader can, however, find descriptions of more than 35 systems for music retrieval with links to their Web sites. Music Accessing and Retrieval can be used as both a guide for beginners who are embarking on research in this relatively new area, and a useful reference for established researchers in this field.



Music Similarity And Retrieval


Music Similarity And Retrieval
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Author : Peter Knees
language : en
Publisher: Springer
Release Date : 2016-05-28

Music Similarity And Retrieval written by Peter Knees and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-28 with Computers categories.


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.>



Music Information Retrieval


Music Information Retrieval
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Author : Markus Schedl
language : en
Publisher:
Release Date : 2014

Music Information Retrieval written by Markus Schedl and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Information storage and retrieval systems categories.


We provide a survey of the field of Music Information Retrieval (MIR), in particular paying attention to latest developments, such as semantic auto-tagging and user-centric retrieval and recommendation approaches. We first elaborate on well-established and proven methods for feature extraction and music indexing, from both the audio signal and contextual data sources about music items, such as web pages or collaborative tags. These in turn enable a wide variety of music retrieval tasks, such as semantic music search or music identification ("query by example"). Subsequently, we review current work on user analysis and modeling in the context of music recommendation and retrieval, addressing the recent trend towards user-centric and adaptive approaches and systems. A discussion follows about the important aspect of how various MIR approaches to different problems are evaluated and compared. Eventually, a discussion about the major open challenges concludes the survey



Advances In Music Information Retrieval


Advances In Music Information Retrieval
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Author : Zbigniew W Ras
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-02-28

Advances In Music Information Retrieval written by Zbigniew W Ras and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-02-28 with Mathematics categories.


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.



Music Retrieval Based On Melodic Similarity


Music Retrieval Based On Melodic Similarity
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Author :
language : en
Publisher:
Release Date : 2007

Music Retrieval Based On Melodic Similarity written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with categories.




Ismir 2008


Ismir 2008
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Author : Juan Pablo Bello
language : en
Publisher: Lulu.com
Release Date : 2008

Ismir 2008 written by Juan Pablo Bello and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Information retrieval categories.




Content Based Music Retrieval On Acoustic Data


Content Based Music Retrieval On Acoustic Data
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Author : Cheng Yang
language : en
Publisher:
Release Date : 2003

Content Based Music Retrieval On Acoustic Data written by Cheng Yang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with categories.




Information Retrieval For Music And Motion


Information Retrieval For Music And Motion
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Author : Meinard Müller
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-09-09

Information Retrieval For Music And Motion written by Meinard Müller and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-09-09 with Computers categories.


Content-based multimedia retrieval is a challenging research field with many unsolved problems. This monograph details concepts and algorithms for robust and efficient information retrieval of two different types of multimedia data: waveform-based music data and human motion data. It first examines several approaches in music information retrieval, in particular general strategies as well as efficient algorithms. The book then introduces a general and unified framework for motion analysis, retrieval, and classification, highlighting the design of suitable features, the notion of similarity used to compare data streams, and data organization.



Music Data Mining


Music Data Mining
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Author : Tao Li
language : en
Publisher: CRC Press
Release Date : 2011-07-12

Music Data Mining written by Tao Li and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-07-12 with Business & Economics categories.


The research area of music information retrieval has gradually evolved to address the challenges of effectively accessing and interacting large collections of music and associated data, such as styles, artists, lyrics, and reviews. Bringing together an interdisciplinary array of top researchers, Music Data Mining presents a variety of approaches to



Music Retrieval Based On A Hummed Query


Music Retrieval Based On A Hummed Query
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Author : Anthony Loughrey
language : en
Publisher:
Release Date : 2003

Music Retrieval Based On A Hummed Query written by Anthony Loughrey and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with categories.