2023
DOI: 10.25236/ajcis.2023.061324
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Feature Selection and Fusion in Cantonese Speech Emotion Analysis

Abstract: This work addresses the scarcity of Cantonese speech emotion datasets by introducing a dedicated dataset and employing innovative methodologies. A tailored feature set, specifically designed for Cantonese, captures intricate emotional expressions. Enhanced efficiency in Cantonese speech emotion recognition is showcased through the utilization of a self-normalization network-based model. With an impressive accuracy of 92.3% on the Cantonese dataset, the model demonstrates robust generalization capabilities acro… Show more

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