Automatic speech emotion detection using hybrid of gray wolf optimizer and naïve Bayes

Abstract
Over the past decade, automatic speech emotion detection has been a great challenge in the human–computer interaction area. Generally, individuals express their feelings explicitly or implicitly through words, facial expressions, gestures, or writing. Different datasets such as speech, text, and visuals are used to explore emotions. Here, seven emotions such as neutrality, happiness, sadness, fear, surprise, disgust, and anger are detected using...
Paper Details
Title
Automatic speech emotion detection using hybrid of gray wolf optimizer and naïve Bayes
Published Date
Aug 12, 2021
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