Gender-Driven English Speech Emotion Recognition with Genetic Algorithm
Liya Yue,
Pei Hu,
Jiulong Zhu
Abstract:Speech emotion recognition based on gender holds great importance for achieving more accurate, personalized, and empathetic interactions in technology, healthcare, psychology, and social sciences. In this paper, we present a novel gender–emotion model. First, gender and emotion features were extracted from voice signals to lay the foundation for our recognition model. Second, a genetic algorithm (GA) processed high-dimensional features, and the Fisher score was used for evaluation. Third, features were ranked … Show more
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