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  Published Paper Details:

  Paper Title

EMOTION RECOGNITION BY ANALYSING HUMAN VOICE

  Authors

  Venkatesh P,  Mohan Kumar K,  Ranjith kumar R,  Sankar V

  Keywords

Emotion recognition

  Abstract


Emotion recognition is that a part of speech recognition which is gaining more popularity and wish for it increases enormously. Although there are methods to know emotion using machine learning techniques, this project attempts to use deep learning and image classification method to acknowledge emotion and classify the emotion consistent with the speech signals. Our proposed model outperforms previous state-of-the-art methods in assigning data to at least one of 4 emotion categories (i.e., angry, happy, sad and neutral) when the model is applied to the RAVDESS dataset, as re?ected by accuracies starting from 68.8% to 71.8%. Various datasets are investigated and explored for training emotion recognition model are explained during this paper.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2003279

  Paper ID - 192639

  Page Number(s) - 1987-1990

  Pubished in - Volume 8 | Issue 3 | March 2020

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Venkatesh P,  Mohan Kumar K,  Ranjith kumar R,  Sankar V,   "EMOTION RECOGNITION BY ANALYSING HUMAN VOICE", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 3, pp.1987-1990, March 2020, Available at :http://www.ijcrt.org/papers/IJCRT2003279.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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