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  Published Paper Details:

  Paper Title

SPEECH EMOTION RECOGNITION

  Authors

  Akanksha Gawale,  Renu Aswani,  Bhakti Dhawale,  Ankita Shivade,  Namrata Donde

  Keywords

  Abstract


In the past decade a lot of research has gone into Automatic Speech Emotion Recognition (SER). The primary objective of SER is to improve man-machine interface. It can also be used to monitor the psycho physiological state of a person in lie detectors. In recent time, speech emotion recognition also finds its applications in medicine and forensics. In this paper 7 emotions are recognized using pitch and prosody features. Majority of the speech features used in this work are in time domain. Support Vector Machine (SVM) classifier has been used for classifying the emotions. Berlin emotional database is chosen for the task. A good recognition rate of 81% was obtained. The paper that was considered as the reference for our work recognized 4 emotions and obtained a recognition rate of 94.2%. The reference paper also used hybrid classifier thus increasing complexity but can only recognize 4 emotions.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2105446

  Paper ID - 206309

  Page Number(s) - e123-e126

  Pubished in - Volume 9 | Issue 5 | May 2021

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Akanksha Gawale,  Renu Aswani,  Bhakti Dhawale,  Ankita Shivade,  Namrata Donde,   "SPEECH EMOTION RECOGNITION", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 5, pp.e123-e126, May 2021, Available at :http://www.ijcrt.org/papers/IJCRT2105446.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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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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