Music Information Retrieval by Detecting Mood via Computational Media Aesthetics
WI '03 Proceedings of the 2003 IEEE/WIC International Conference on Web Intelligence
MARSYAS: a framework for audio analysis
Organised Sound
MARSYAS: a framework for audio analysis
Organised Sound
Query by humming with the VocalSearch system
Communications of the ACM - Music information retrieval
A user-independent real-time emotion recognition system for software agents in domestic environments
Engineering Applications of Artificial Intelligence
MUSEMBLE: A novel music retrieval system with automatic voice query transcription and reformulation
Journal of Systems and Software
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
SVR-based music mood classification and context-based music recommendation
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Content-based scene segmentation scheme for efficient multimedia information retrieval
International Journal of Wireless and Mobile Computing
A Regression Approach to Music Emotion Recognition
IEEE Transactions on Audio, Speech, and Language Processing
Automatic mood detection and tracking of music audio signals
IEEE Transactions on Audio, Speech, and Language Processing
Multimedia technology for pervasive computing environment
The Journal of Supercomputing
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With the advent of the ubiquitous era, multimedia emotion/mood could be used as an important clue in multimedia understanding, retrieval, recommendation, and some other multimedia applications. Many issues for multimedia emotion recognition have been addressed by different disciplines such as physiology, psychology, cognitive science, and musicology. Recently, many researchers have tried to uncover the relationship between multimedia contents such as image or music and emotion in many applications. In this paper, we introduce the existing emotion models and acoustic features. We also present a comparison of different emotion/mood recognition methods.