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Author/Affiliation: Robert BoliaOpen AccessArticle
9 Pages, 1,480 KB 
Amplitude-Frequency Analysis of Emotional Speech Using Transfer Learning and Classification of Spectrogram Images
Abstract:
Automatic speech emotion recognition (SER) techniques based on acoustic analysis show high confusion between certain emotional categories. This study used an indirect approach to provide insights into the amplitude-frequency characteristics of different emotions in order to support the development of future, more efficiently differentiating SER methods. The analysis was carried out by transforming short 1-second…
Read More(This article belongs to the SP5 (Special Issue on Multidisciplinary Sciences and Engineering 2018) & Section Interdisciplinary Applications of Computer Science (CSI))