Emotions Recognition from Spoken Marathi Speech Using LPC and PCA Technique

V. B. Waghmare, R. R. Deshmukh () and G. B. Janvale
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V. B. Waghmare: Vivekanand College, Department of Computer Science
R. R. Deshmukh: Dr. B.A.M. University, Department of Computer Science
G. B. Janvale: MGM’s Institute of Biosciences and Technology

A chapter in New Trends in Computational Vision and Bio-inspired Computing, 2020, pp 81-88 from Springer

Abstract: Abstract Amid late years, the field of emotion classification of Speech signals has been picking up a huge consideration and a few systems have been built by various scientists for acknowledgment of human feelings in talked articulations with their local voice correspondence. This paper depicts a test which exhibits the acknowledgment of simulated human emotions from an artificial Marathi emotional speech database. The database comprises of the information tests that were gathered from five Marathi emotion pictures (Actors and Actress voice) recreated the feelings creating the Marathi expressions which could be utilized as a part of regular correspondence and are interpretable in every single connected feeling. The discourse tests were recognized by the different circumstances from the films. The information tests were classified in five fundamental classifications that are Happy, Sad, Anger, Afraid and Surprise. Our point is to explore three fundamental feelings. The Study explores Linear Predictive Coding (LPC) model for speech signal production based on the supposition that the speech signal is produced by a very precise model for emotion recognition.

Keywords: Speech database; Emotion; Speech; LPC; PCA (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-41862-5_8

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DOI: 10.1007/978-3-030-41862-5_8

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