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Speech Emotion Recognition Using Clustering Based GA-Optimized Feature Set

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Speech Emotion Recognition (SER) is a hot topic in academia and industry. Feature engineering plays a pivotal role in building an efficient SER. Although researchers have done a tremendous amount of work in this field. there are still the issues of speech feature choice and the correct application of feature engineering that remains to be solved in the domain of SER. https://www.bekindtopets.com/great-deal-Outre-X-Pression-Twisted-Up-Crochet-Braid-PASSION-WATERWAVE-24-quick-deal/
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