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HSERNet: Hybrid Speech Emotion Recognition using Conformer-Convolutional Neural Networks

2025-02-25

Abstract excerpt

Recent development of speech emotion recognition (SER) causes have shifted more and more to enhancing the computer’s understanding of people’s emotions by using their voice. This paper proposes a new SER algorithm that reduces the difficulty of the process by directly working with the raw speech data rather than depending on the human expert’s choice of the acoustic features. The method proposed is therefore a Con...

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Literature Corpus work
f24aec5c-3d5b-51ff-80d9-192d53c9a0ee
DOI
10.22541/au.174048503.32222055/v1
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HSERNet: Hybrid Speech Emotion Recognition using Conformer-Convolutional Neural NetworksDOI 10.22541/au.174048503.32222055/v1
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