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Opis

This book surveys the research field of Music Information Retrieval (MIR), in particular paying attention to latest developments, such as semantic auto-tagging or user-centric retrieval and recommendation approaches. It first elaborates 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 identication ("query by example"). The book goes on to 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 presentation of common MIR applications and a report on major open challenges concludes the book.

Szczegóły książki

Kategoria Książki po angielsku Computing & information technology Databases Information retrieval

• Pełny tytuł: Music Information Retrieval
• Autor: Markus Schedl, Emilia Gomez, Julian Urbano
• Język: Angielski
• Oprawa: Miękka
• Liczba stron: 154
• EAN: 9781601988065
• ISBN: 1601988060
• ID: 04835023
• Wydawca: now publishers Inc
• Waga: 252 g
• Wymiary: 159 × 233 × 16 mm
• Data wydania: 12. September 2014

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