Which statistical models were explored in early academic probes for building predictive classification models based on extracted acoustic features?

Answer

Hidden Markov models (HMMs) and Support Vector Machines (SVMs)

Early academic research utilized established machine learning techniques like Hidden Markov Models (HMMs) and Support Vector Machines (SVMs) to create predictive models mapping extracted acoustic data points to emotional labels.

Which statistical models were explored in early academic probes for building predictive classification models based on extracted acoustic features?
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