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MIR
2010
ACM
217views Multimedia» more  MIR 2010»
13 years 9 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
CMMR
2004
Springer
118views Music» more  CMMR 2004»
13 years 9 months ago
Methods for Combining Statistical Models of Music
Abstract. The paper concerns the use of multiple viewpoint representation schemes for prediction with statistical models of monophonic music. We present an experimental comparison ...
Marcus Pearce, Darrell Conklin, Geraint A. Wiggins
CMMR
2007
Springer
119views Music» more  CMMR 2007»
13 years 10 months ago
Understanding Emotion in Raag: An Empirical Study of Listener Responses
A survey of emotion in North Indian classical music was undertaken to determine the type and consistency of emotional responses to raag. Participants listened to five oneminute r...
Parag Chordia, Alex Rae
SIGIR
2010
ACM
13 years 8 months ago
Effective music tagging through advanced statistical modeling
Music information retrieval (MIR) holds great promise as a technology for managing large music archives. One of the key components of MIR that has been actively researched into is...
Jialie Shen, Wang Meng, Shuichang Yan, HweeHwa Pan...
UMUAI
2008
192views more  UMUAI 2008»
13 years 4 months ago
Automatic detection of learner's affect from conversational cues
We explored the reliability of detecting a learner's affect from conversational features extracted from interactions with AutoTutor, an intelligent tutoring system that helps...
Sidney K. D'Mello, Scotty D. Craig, Amy M. Withers...