Abstract
Emotion recognition plays a very important role to make the human-computer interaction more natural. Basically two approaches were used by various researchers i.e. by using facial expression and tone of the voice. In this proposed work speech utterances in Marathi language are used. Seven basic emotions of human beings like angry, happy, disgust, surprise, sad, neutral, and fear have been used in the experimental work. The Marathi emotional words like Gap re (गपरे), Are wa (अरेवा!), Are Deva (अरेदेवा) are used as speech samples for feature extraction. The standard deviation and pitch of voice were determined using PRAAT software. Three speech samples have been used angry and neutral emotion. The Four speech samples have been used for remaining emotions i.e. happy, disgust, surprise, sad and fear. By analysing the feature value of standard deviation 100% recognition accuracy rate obtained for happy, disgust and surprise emotion. 75% accuracy rate for sad & fear and 66.66% accuracy rate for angry and & neutral emotion. The average recognition accuracy rate of seven emotions is 90%.
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Shinde, A.R., Raut, S.D., Agnihotri, P.P., Khanale, P.B. (2021). Emotion Recognition Using Standard Deviation and Pitch as a Feature in a Marathi Emotional Utterances. In: Santosh, K.C., Gawali, B. (eds) Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2020. Communications in Computer and Information Science, vol 1380. Springer, Singapore. https://doi.org/10.1007/978-981-16-0507-9_45
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DOI: https://doi.org/10.1007/978-981-16-0507-9_45
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