Feature selection for content-based, time-varying musical emotion regression

MIR 2010 - Proceedings of the 2010 ACM SIGMM International Conference on Multimedia Information Retrieval

Volumn , Issue , 2010, Pages 267-273

  Schmidt, Erik M ^a   Turnbull, Douglas ^b   Kim, Youngmoo E ^a  

^a Drexel University   (United States)

^b SWARTHMORE COLLEGE   (United States)

Author keywords

Audio features; Emotion recognition; Machine learning; Regression

Indexed keywords

ACOUSTIC FEATURES; ACOUSTIC SIGNALS; AUDIO FEATURES; AUDIO SIGNAL; AUTOMATED SYSTEMS; CONTENT-BASED; DYNAMIC NATURE; EMOTION RECOGNITION; EMOTIONAL CHANGE; FEATURE SELECTION; HUMAN DATA; HUMAN EMOTION; LINKING MODELS; MACHINE-LEARNING; MUSICAL EMOTION; QUANTITATIVE FEATURES; TIME VARYING;

AUTOMATION; FEATURE EXTRACTION; INFORMATION RETRIEVAL; LEARNING SYSTEMS; REGRESSION ANALYSIS;

AUDIO ACOUSTICS;

EID: 77952382770     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1743384.1743431     Document Type: Conference Paper

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