Harnessing Deep Learning for Speech Emotion Recognition
Mastering Deep Learning for Speech Emotion Recognition: Techniques, Challenges, and Applications
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Human emotion recognition is a crucial component of Human-Computer Interaction (HCI), as emotions are often conveyed through facial expressions, body language, and speech. Among these, speech-based emotion recognition stands out due to its simplicity, low cost, and reduced privacy concerns. Speech Emotion Recognition (SER) involves categorizing emotions such as neutral, sadness, fear, anger, surprise, disgust, and happiness using speech signals. This book explores innovative Deep Learning algorithms designed to accurately identify and classify human emotional states based on speech patterns.
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