Guest Editors: Julien Epps, Roddy Cowie, Shrikanth Narayanan, Björn Schuller, and Jianhua Tao
Emotion and Mental State Recognition from Speech
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Citation: EURASIP Journal on Advances in Signal Processing 2012 2012:15
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Phonologically-based biomarkers for major depressive disorder
Of increasing importance in the civilian and military population is the recognition of major depressive disorder at its earliest stages and intervention before the onset of severe symptoms. Toward the goal of ...
Citation: EURASIP Journal on Advances in Signal Processing 2011 2011:42 -
Biologically inspired emotion recognition from speech
Emotion recognition has become a fundamental task in human-computer interaction systems. In this article, we propose an emotion recognition approach based on biologically inspired methods. Specifically, emotio...
Citation: EURASIP Journal on Advances in Signal Processing 2011 2011:24 -
Predicting user mental states in spoken dialogue systems
In this paper we propose a method for predicting the user mental state for the development of more efficient and usable spoken dialogue systems. This prediction, carried out for each user turn in the dialogue,...
Citation: EURASIP Journal on Advances in Signal Processing 2011 2011:6 -
Utterance independent bimodal emotion recognition in spontaneous communication
Emotion expressions sometimes are mixed with the utterance expression in spontaneous face-to-face communication, which makes difficulties for emotion recognition. This article introduces the methods of reducin...
Citation: EURASIP Journal on Advances in Signal Processing 2011 2011:4 -
Recognition of Nonprototypical Emotions in Reverberated and Noisy Speech by Nonnegative Matrix Factorization
We present a comprehensive study on the effect of reverberation and background noise on the recognition of nonprototypical emotions from speech. We carry out our evaluation on a single, well-defined task based...
Citation: EURASIP Journal on Advances in Signal Processing 2011 2011:838790 -
Formant Frequencies under Cognitive Load: Effects and Classification
Cognitive load measurement systems measure the mental demand experienced by human while performing a cognitive task, which is useful in monitoring and enhancing task performance. Various speech-based systems h...
Citation: EURASIP Journal on Advances in Signal Processing 2010 2011:219253 -
Recognizing Uncertainty in Speech
We address the problem of inferring a speaker's level of certainty based on prosodic information in the speech signal, which has application in speech-based dialogue systems. We show that using phrase-level pr...
Citation: EURASIP Journal on Advances in Signal Processing 2010 2011:251753