Music Emotion Recognition

Key features:

* 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.