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  Published Paper Details:

  Paper Title

EMOTION RECOGNITION BASED ON SPEECH USING MACHINE LEARNING

  Authors

  Nayana Sonawane,  Ashwini Uttam Gund,  Pooja Navnath Gawate,  Akshata Dipak Salunke,  Sumeet Popat Kakade

  Keywords

Speech conversion, human emotion, feature extraction, machine learning

  Abstract


In human communication, feelings play an important role. The ability to decipher human emotions by breaking down voice is appealing in a variety of contexts. Feelings recognition can be found in a variety of places, such as the connection between PCs and people and call centres. Feeling recognition had previously relied on simple classifiers on bag-of-words models. Nonetheless, the current work on voice feeling recognition was done with the use of deep learning algorithms on static voice data. The proposed technique focuses on improving the overall precision of feeling acknowledgment during calls including artificial intelligence. The overall goal is to accurately perceive the various emotions that a single utterance conveys semantically.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2106240

  Paper ID - 208558

  Page Number(s) - b868-b874

  Pubished in - Volume 9 | Issue 6 | June 2021

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Nayana Sonawane,  Ashwini Uttam Gund,  Pooja Navnath Gawate,  Akshata Dipak Salunke,  Sumeet Popat Kakade,   "EMOTION RECOGNITION BASED ON SPEECH USING MACHINE LEARNING", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 6, pp.b868-b874, June 2021, Available at :http://www.ijcrt.org/papers/IJCRT2106240.pdf

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ISSN: 2320-2882
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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