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Open AccessArticle

Emotional Speech Recognition Based on the Committee of Classifiers

Lodz University of Technology, Institute of Mechatronics and Information Systems, Stefanowskiego 18/22 Str. 90-924 Lodz, Poland
Entropy 2019, 21(10), 920; https://doi.org/10.3390/e21100920
Received: 12 August 2019 / Revised: 10 September 2019 / Accepted: 19 September 2019 / Published: 21 September 2019
(This article belongs to the Special Issue Statistical Machine Learning for Human Behaviour Analysis)
This article presents the novel method for emotion recognition from speech based on committee of classifiers. Different classification methods were juxtaposed in order to compare several alternative approaches for final voting. The research is conducted on three different types of Polish emotional speech: acted out with the same content, acted out with different content, and spontaneous. A pool of descriptors, commonly utilized for emotional speech recognition, expanded with sets of various perceptual coefficients, is used as input features. This research shows that presented approach improve the performance with respect to a single classifier. View Full-Text
Keywords: emotion recognition; speech; committee of classifiers emotion recognition; speech; committee of classifiers
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Kamińska, D. Emotional Speech Recognition Based on the Committee of Classifiers. Entropy 2019, 21, 920.

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