International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume5,February 2018,

Topic : Classification of Emotion using Different No. of MFCCs

Authors:Pramod Mehra || Parag Jain

Abstract:In this paper, the spectral features are separated from speech and used to perceive the feelings from speech. As Speech has been utilized as a vital method of correspondence since the time immemorial. Feelings are a basic piece of normal speech correspondence. The vast majority of the present speech frameworks can process studio recorded nonpartisan speech with more prominent precision. Hence, a need is felt to refresh speech preparing frameworks with the ability to process feelings. The part of feeling handling makes the current speech frameworks more practical and significant. In this work, spectral highlights are extricated from speech to perform feeling grouping. mel recurrence cepstral coefficients and their subsidiaries (speed and increasing speed coefficients) are investigated as highlights. Gaussian blend models are proposed as classifiers. The feelings considered in this examination are outrage, satisfaction, unbiased, pity and astonishment. The speech feeling database utilized as a part of this work is semi-common in nature, which has been gathered from the exchanges of performing artists/on-screen characters..

Keywords: Feeling grouping, GMM, MFCC, Spectral highlights, Text dependent emotion recognition, Text independent emotion recognition.

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DOI: 01.1617/vol5/iss2/pid97341


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Dr. Allon Guez
Professor, Drexel University,
USA


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ISSN(Online):2394-2320

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Journal Code : IJERCSE
Electronic ISSN : 2394-2320
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