Discrete-time signal processing (2nd ed.)
Discrete-time signal processing (2nd ed.)
CT image reconstruction approaches applied to time-frequency representation of signals
EURASIP Journal on Applied Signal Processing
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
Spectral Flatness Analysis for Emotional Speech Synthesis and Transformation
Cross-Modal Analysis of Speech, Gestures, Gaze and Facial Expressions
First Experiments on Text-to-Speech System Personification
TSD '09 Proceedings of the 12th International Conference on Text, Speech and Dialogue
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
Czech HMM-based speech synthesis
TSD'10 Proceedings of the 13th international conference on Text, speech and dialogue
Formant position based weighted spectral features for emotion recognition
Speech Communication
Statistical analysis of complementary spectral features of emotional speech in Czech and Slovak
TSD'11 Proceedings of the 14th international conference on Text, speech and dialogue
Combining acoustic features for improved emotion recognition in mandarin speech
ACII'05 Proceedings of the First international conference on Affective Computing and Intelligent Interaction
Emotional vocal expressions recognition using the COST 2102 italian database of emotional speech
COST'09 Proceedings of the Second international conference on Development of Multimodal Interfaces: active Listening and Synchrony
Feature Analysis and Evaluation for Automatic Emotion Identification in Speech
IEEE Transactions on Multimedia
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Our paper is aimed at statistical analysis and comparison of spectral features which complement vocal tract characteristics (spectral centroid, spectral flatness measure, Shannon entropy, Rényi entropy, etc.) in emotional and neutral speech of male and female voice. This experiment was realized using the German speech database EmoDB and the Czech and Slovak speech material extracted from the stories performed by professional actors. Analysis of complementary spectral features (basic and extended statistical parameters and histograms of spectral features distribution) for all three languages confirms that this approach can be used for classification of emotional speech types.