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» Music Emotion Classification: A Regression Approach
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ICMCS
2007
IEEE
126views Multimedia» more  ICMCS 2007»
14 years 16 days ago
Music Emotion Classification: A Regression Approach
Typical music emotion classification (MEC) approaches categorize emotions and apply pattern recognition methods to train a classifier. However, categorized emotions are too ambigu...
Yi-Hsuan Yang, Yu-Ching Lin, Ya-Fan Su, Homer H. C...
MM
2006
ACM
132views Multimedia» more  MM 2006»
14 years 5 days ago
Music emotion classification: a fuzzy approach
Due to the subjective nature of human perception, classification of the emotion of music is a challenging problem. Simply assigning an emotion class to a song segment in a determi...
Yi-Hsuan Yang, Chia Chu Liu, Homer H. Chen
TASLP
2008
108views more  TASLP 2008»
13 years 6 months ago
A Regression Approach to Music Emotion Recognition
Content-based retrieval has emerged in the face of content explosion as a promising approach to information access. In this paper, we focus on the challenging issue of recognizing ...
Yi-Hsuan Yang, Yu-Ching Lin, Ya-Fan Su, Homer H. C...
MIR
2010
ACM
217views Multimedia» more  MIR 2010»
13 years 11 months ago
Feature selection for content-based, time-varying musical emotion regression
In developing automated systems to recognize the emotional content of music, we are faced with a problem spanning two disparate domains: the space of human emotions and the acoust...
Erik M. Schmidt, Douglas Turnbull, Youngmoo E. Kim
ICASSP
2011
IEEE
12 years 10 months ago
Hierarchical audio classification using cepstral modulation ratio regressions based on Legendre polynomials
In this work we present a scalable feature set which is obtained by fitting orthogonal polynomials to the normalized modulation spectrum of cepstral coefficients and which can b...
Anil M. Nagathil, Peter Gottel, Rainer Martin