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ICMI
2004
Springer
263views Biometrics» more  ICMI 2004»
13 years 11 months ago
Analysis of emotion recognition using facial expressions, speech and multimodal information
The interaction between human beings and computers will be more natural if computers are able to perceive and respond to human non-verbal communication such as emotions. Although ...
Carlos Busso, Zhigang Deng, Serdar Yildirim, Murta...
ICPR
2008
IEEE
14 years 7 months ago
Multiple classifier applied on predicting microsleep from speech
The aim of this study is to apply a state-of-the-art speech emotion recognition engine on the detection of microsleep endangered sleepiness states. Current approaches in speech em...
Jarek Krajewski, Anton Batliner, Rainer Wieland
ICMCS
2005
IEEE
145views Multimedia» more  ICMCS 2005»
13 years 11 months ago
From Physiological Signals to Emotions: Implementing and Comparing Selected Methods for Feature Extraction and Classification
Little attention has been paid so far to physiological signals for emotion recognition compared to audio-visual emotion channels, such as facial expressions or speech. In this pap...
Johannes Wagner, Jonghwa Kim, Elisabeth Andr&eacut...
ICMCS
2010
IEEE
194views Multimedia» more  ICMCS 2010»
13 years 6 months ago
Speech emotion estimation in 3D space
Speech processing is an important aspect of affective computing. Most research in this direction has focused on classifying emotions into a small number of categories. However, nu...
Dongrui Wu, Thomas D. Parsons, Emily Mower, Shrika...
ICASSP
2011
IEEE
12 years 9 months ago
Iterative feature normalization for emotional speech detection
Contending with signal variability due to source and channel effects is a critical problem in automatic emotion recognition. Any approach in mitigating these effects however has t...
Carlos Busso, Angeliki Metallinou, Shrikanth S. Na...