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.
Dr. Panikos Heracleous is currently with Artificial Intelligence Research Center (AIRC), AIST, Japan.
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Heracleous, P., Mohammad, Y., Yoneyama, A. (2021). Speech Emotion Recognition Using Combined Multiple Pairwise Classifiers. In: Stephanidis, C., Antona, M., Ntoa, S. (eds) HCI International 2021 - Late Breaking Posters. HCII 2021. Communications in Computer and Information Science, vol 1498. Springer, Cham. https://doi.org/10.1007/978-3-030-90176-9_16
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DOI: https://doi.org/10.1007/978-3-030-90176-9_16
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