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2021 | OriginalPaper | Chapter

Speech Emotion Recognition Using Combined Multiple Pairwise Classifiers

Authors : Panikos Heracleous, Yasser Mohammad, Akio Yoneyama

Published in: HCI International 2021 - Late Breaking Posters

Publisher: Springer International Publishing

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Abstract

In the current study, a novel approach for speech emotion recognition is proposed and evaluated. The proposed method is based on multiple pairwise classifiers for each emotion pair resulting in dimensionality and emotion ambiguity reduction. The method was evaluated using the state-of-the-art English IEMOCAP corpus and showed significantly higher accuracy compared to a conventional method.

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Metadata
Title
Speech Emotion Recognition Using Combined Multiple Pairwise Classifiers
Authors
Panikos Heracleous
Yasser Mohammad
Akio Yoneyama
Copyright Year
2021
Book
HCI International 2021 - Late Breaking Posters

Print ISBN: 978-3-030-90175-2

Electronic ISBN: 978-3-030-90176-9

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-3-030-90176-9_16