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Music Emotion Recognition by Homer H. Chen, Yi-Hsuan Yang

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ISBN: 978-1-4398-5046-6
9 781439 850466
90000
Providing a comprehensive review of existing work in music emotion
developed in psychology and engineering, Music Emotion Recognition
explains how to account for the subjective nature of emotion perception in the
development of automatic music emotion recognition (MER) systems. Among
the rst publications dedicated to automatic MER, it begins with a complete
introduction to the essential aspects of MER—including background, key
techniques, and applications.
This ground-breaking reference examines emotion from a dimensional
perspective. It denes emotions in music as points in a 2D plane in terms of two
of the most fundamental emotion dimensions according to psychologists
valence and arousal. The authors present a computational framework that
generalizes emotion recognition from the categorical domain to real-valued
2D space. They also
Introduce novel emotion-based music retrieval and organization methods
Describe a ranking-base emotion annotation and model training method
Present methods that integrate information extracted from lyrics, chord
sequence, and genre metadata for improved accuracy
Consider an emotion-based music retrieval system that is particularly
useful for mobile devices
The book details techniques for addressing the issues related to the ambiguity
and granularity of emotion description, heavy cognitive load of emotion
annotation, subjectivity of emotion perception, and the semantic gap between
low-level audio signal and high-level emotion perception. Complete with more
than 360 useful references, 12 example MATLAB
®
codes, and a listing of key
abbreviations and acronyms, this cutting-edge guide supplies the technical
understanding and tools needed to develop your own automatic MER system
based on the automatic recognition model.
Data Mining & Knowledge Discovery / Music Emotion Recognition
Music Emotion Recognition
Yang Chen
www.auerbach-publications.com
K12296
www.c rc press .com
K12296 cvr mech.indd 1 1/24/11 4:02 PM

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