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Speech Emotion Recognition Systems Overview by gowtham.karri is a document available to read on EtoBox.
What is Speech Emotion Recognition Systems Overview about?
The document presents a literature review on various Speech Emotion Recognition (SER) systems, highlighting advancements in machine learning and deep learning techniques for emotion classification using audio features. It discusses multiple models, including CNNs, SVMs, and hybrid approaches, achieving accuracy rates ranging from 73.1% to 100% across different datasets. The review emphasizes the importance of feature extraction, multimodal integration, and ongoing challenges such as emotion variability and
- Author
- gowtham.karri
- Language
- EN