Vocal communication of emotion: a review of research paradigms
Speech Communication - Special issue on speech and emotion
On the use of complementary spectral features for speaker recognition
EURASIP Journal on Advances in Signal Processing
Speech Emotion Recognition Using Spectral Entropy
ICIRA '08 Proceedings of the First International Conference on Intelligent Robotics and Applications: Part II
Robust speech endpoint detection based on improved adaptive band-partitioning spectral entropy
LSMS'07 Proceedings of the Life system modeling and simulation 2007 international conference on Bio-Inspired computational intelligence and applications
Feature Analysis and Evaluation for Automatic Emotion Identification in Speech
IEEE Transactions on Multimedia
Comparison of complementary spectral features of emotional speech for german, czech, and slovak
COST'11 Proceedings of the 2011 international conference on Cognitive Behavioural Systems
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Several spectral features quantify speaker-dependent as well as emotion-dependent characteristics of a speech signal. It means these features provide information which complements the vocal tract characteristics. This paper analyzes and compares complementary spectral features distribution (spectral centroid, spectral flatness measure, Shannon entropy) of male and female acted emotional speech in Czech and Slovak languages.