Music Emotion Recognition

With over 300 references, this book explains the essential aspects of automatic music emotion recognition (MER), including background, key techniques, and applications. It reviews of existing work in the field and establishes a computational framework that generalizes emotion recognition from categorical domain to real-valued 2D space. Furthermore, it describes how to take the subjective nature of emotion perception into account in the development of automatic MER systems. This book can be used as a reference and guide to develop an automatic music emotion recognition system.

Yi-Hsuan Yang received a Ph.D. in Communication Engineering from National Taiwan University in 2010. His research interests include multimedia information retrieval, music analysis, machine learning, and affective computing. He has published over 30 technical papers in the above areas. Dr. Yang was awarded MediaTek Fellowship in 2009 and Microsoft Research Asia Fellowship in 2008. Homer H. Chen received a Ph.D. in Electrical and Computer Engineering from the University of Illinois at Urbana- Champaign. Since August 2003, he has been with the College of Electrical Engineering and Computer Science, National Taiwan University, where he is Irving T. Ho Chair Professor. Prior to that, he held various R&D management and engineering positions with US companies over a period of 17 years, including AT&T Bell Labs, Rockwell Science Center, iVast, and Digital Island. He was a US delegate for ISO and ITU standards committees and contributed to the development of many new interactive multimedia technologies that are now part of the MPEG-4 and JPEG-2000 standards. His professional interests lie in the broad area of multimedia signal processing and communications. Dr. Chen is an Associate Editor of IEEE Transactions on Circuits and Systems for Video Technology. He served as Associate Editor of IEEE Transactions on Image Processing from 1992 to 1994, Guest Editor of IEEE Transactions on Circuits and Systems for Video Technology in 1999, and an Associate Editorial of Pattern Recognition from 1989 to 1999. He is an IEEE Fellow.

Overview of Emotion Description and Recognition. Music Features. Dimensional MER by Regression. Ranking-Based Emotion Annotation and Model Training. Fuzzy Classification of Music Emotion. Personalized MER and Groupwise MER. Two-Layer Personalization. Probability Music Emotion Distribution Prediction. Lyrics Analysis and Its Application to MER. Chord Recognition and Its Application to MER. Genre Classification and Its Application to MER. Music Retrieval in the Emotion Plane. Future Research Directions.