Music Emotion Recognition
Crc Press Inc (Verlag)
978-1-4398-5046-6 (ISBN)
This ground-breaking reference examines emotion from a dimensional perspective. It defines 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.
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.
| Erscheint lt. Verlag | 25.2.2011 |
|---|---|
| Reihe/Serie | Multimedia Computing, Communication and Intelligence |
| Zusatzinfo | 70 Tables, black and white; 74 Illustrations, black and white |
| Verlagsort | Bosa Roca |
| Sprache | englisch |
| Maße | 156 x 234 mm |
| Gewicht | 498 g |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Mathematik / Informatik ► Informatik ► Theorie / Studium | |
| Mathematik / Informatik ► Informatik ► Web / Internet | |
| ISBN-10 | 1-4398-5046-1 / 1439850461 |
| ISBN-13 | 978-1-4398-5046-6 / 9781439850466 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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