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» Detecting emotion in music
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UM
2005
Springer
14 years 4 months ago
Data-Driven Refinement of a Probabilistic Model of User Affect
We present further developments in our work on using data from real users to build a probabilistic model of user affect based on Dynamic Bayesian Networks (DBNs) and designed to de...
Cristina Conati, Heather Maclaren
ISMIR
2005
Springer
160views Music» more  ISMIR 2005»
14 years 4 months ago
Finding An Optimal Segmentation for Audio Genre Classification
In the automatic classification of music many different segmentations of the audio signal have been used to calculate features. These include individual short frames (23 ms), lon...
Kris West, Stephen Cox
ICASSP
2010
IEEE
13 years 11 months ago
Singing information processing based on singing voice modeling
In this paper, we propose a novel area of research referred to as singing information processing. To shape the concept of this area, we first introduce singing understanding syst...
Masataka Goto, Takeshi Saitou, Tomoyasu Nakano, Hi...
DSP
2006
13 years 11 months ago
Detection of audio covert channels using statistical footprints of hidden messages
We address the problem of detecting the presence of hidden messages in audio. The detector is based on the characteristics of the denoised residuals of the audio file, which may c...
Hamza Özer, Bülent Sankur, Nasir D. Memo...
ICMI
2000
Springer
157views Biometrics» more  ICMI 2000»
14 years 2 months ago
Eye-State Action Unit Detection by Gabor Wavelets
Abstract Eyes play important roles in emotion and paralinguistic communications. Detection of eye state is necessaryfor applicationssuch as driver awareness systems. In this paper,...
Ying-li Tian, Takeo Kanade, Jeffrey F. Cohn