The Music Index. 1949-
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Release | : 1949 |
Genre | : Music |
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Release | : 1949 |
Genre | : Music |
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Author | : Bruce Pollock |
Publisher | : Macmillan Reference USA |
Total Pages | : 552 |
Release | : 1997 |
Genre | : Music |
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A listing of over 7,500 rock songs presented alphabetically by artist that notes the album the song appeared on, its year of release, the producer, record company, and songwriters. Also briefly describes the song or its popularity and features an index alphabetized by song title.
Author | : Harold J. Diamond |
Publisher | : Simon & Schuster Books For Young Readers |
Total Pages | : 748 |
Release | : 1991 |
Genre | : Music |
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This is a reference source to the analytical literature on music from the Middle Ages to the 20th century, designed for music scholars, students, and concert-goers interested in a technical explanation of a favourite composition.
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Release | : 200? |
Genre | : Music |
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Bibliographic database covering more than 725 international music periodicals from over 40 countries in 23 languages. Topics include every aspect of the classical and popular world of music, and are thoroughly categorized and organized according to the framework of an internal Subject List, which includes both Subject and Geographic headings. Covers all styles and genres of music. Cites book reviews, obituaries, new periodicals, and news and articles about music, musicians, and the music industry. Selected coverage before 1975. Coverage: 1975 to present.
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Total Pages | : 0 |
Release | : 2010 |
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ISBN | : 9780899901503 |
Author | : James Michael Floyd |
Publisher | : Routledge |
Total Pages | : 344 |
Release | : 2013-10-31 |
Genre | : Music |
ISBN | : 1135453799 |
First Published in 2005. Routledge is an imprint of Taylor & Francis, an informa company.
Author | : James Michael Floyd |
Publisher | : Routledge |
Total Pages | : 456 |
Release | : 2019-05-23 |
Genre | : Music |
ISBN | : 0429012632 |
Choral Music: A Research and Information Guide, Third Edition, offers a comprehensive guide to the literature on choral music in the Western tradition. Clearly annotated bibliographic entries guide readers to resources on key topics within choral music, individual choral composers, regional and sacred choral traditions, choral techniques, choral music education, genre studies, and more, providing an essential reference for researchers and practitioners. Covering monographs, bibliographies, selected dissertations, reference works, journals, electronic databases, and websites, this research guide makes it easy to locate relevant sources. Comprehensive indices of authors, titles, and subjects keep the volume user-friendly. The new edition has been brought up to date with entries encompassing the latest scholarship, and updated references and annotations throughout, capturing the continued growth of literature on choral music since the publication of the second edition.
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Release | : 1977 |
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Author | : Tao Li |
Publisher | : CRC Press |
Total Pages | : 386 |
Release | : 2011-07-12 |
Genre | : Business & Economics |
ISBN | : 1439835527 |
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 successfully employ data mining techniques for the purpose of music processing. The book first covers music data mining tasks and algorithms and audio feature extraction, providing a framework for subsequent chapters. With a focus on data classification, it then describes a computational approach inspired by human auditory perception and examines instrument recognition, the effects of music on moods and emotions, and the connections between power laws and music aesthetics. Given the importance of social aspects in understanding music, the text addresses the use of the Web and peer-to-peer networks for both music data mining and evaluating music mining tasks and algorithms. It also discusses indexing with tags and explains how data can be collected using online human computation games. The final chapters offer a balanced exploration of hit song science as well as a look at symbolic musicology and data mining. The multifaceted nature of music information often requires algorithms and systems using sophisticated signal processing and machine learning techniques to better extract useful information. An excellent introduction to the field, this volume presents state-of-the-art techniques in music data mining and information retrieval to create novel ways of interacting with large music collections.