2020
DOI: 10.30534/ijatcse/2020/67922020
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Speech Emotion Recognition using State-of-Art Learning Algorithms

Abstract: Emotion is considered to be one of the significant human interaction factors. Recognizing human behavior based on emotion is often misinterpreted. However, that has not prevented the analysts from attempting to extract the information from a speech called speech recognition. In this paper, we analyzed the different algorithm's performance in the field of speech signal classification. Considering accuracy and precision as factors, ANN showed higher results with around 80% accuracy and correctness, followed by S… Show more

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Cited by 14 publications
(5 citation statements)
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“…This leveling method is dependent on tracking measures. Spatio-temporal repository [30] involves holding a stockpile container, and handling knowledge about territory and date. Atlast, a simulation of framework is done using developed traffic conditions & vehicular traffic [31] in given area of traffic.…”
Section: Fog Computing Programming Modelsmentioning
confidence: 99%
“…This leveling method is dependent on tracking measures. Spatio-temporal repository [30] involves holding a stockpile container, and handling knowledge about territory and date. Atlast, a simulation of framework is done using developed traffic conditions & vehicular traffic [31] in given area of traffic.…”
Section: Fog Computing Programming Modelsmentioning
confidence: 99%
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Section: Related Workmentioning
confidence: 99%
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Section: Introductionmentioning
confidence: 99%