UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 4
April-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2204443


Registration ID:
400800

Page Number

e309-e317

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Title

SPEECH EMOTION RECOGNITION USING MACHINE LEARNING

Abstract

This project presents a comparative study of Speech Emotion Recognition (SER) systems. The speech signal is one of the most natural and fastest methods of communication between humans. This project has reviewed and compared the different classifiers that are used to discriminate emotions such as Happy , Sad , Neutral , Fearful , Surprise , Disgust ,Angry etc. To achieve this study, an SER system, based on different classifiers and different methods for features extraction, is developed. Mel-frequency cepstrum coefficients (MFCC) and modulation spectral (MS) features are extracted from the speech signals and used to train different classifiers. After feature extraction, another important part is the classification of speech emotions. Feature selection (FS) was applied in order to seek for the most relevant feature subset. Several machine learning paradigms were used for the emotion classification task. A recurrent neural network (RNN) classifier is used first to classify seven emotions. Their performances are compared later to logistics regression (LR) and support vector machines (SVM) techniques, which are widely used in the field of emotion recognition for spoken audio signals. There are number of datasets available for speech emotions, it's modelling and types that helps in knowing the type of speech. RAVDESS , Berlin and Spanish data- bases are used as the experimental data set.

Key Words

Speech Emotion Recognition, Recurrent Neural Network (RNN), Support Vector Machines (SVM), Logistic Regression (LR), Modulation Spectral (MS) , Mel-Frequency Cepstrum Coefficients (MFCC), Machine Learning

Cite This Article

" SPEECH EMOTION RECOGNITION USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.e309-e317, April-2022, Available :http://www.jetir.org/papers/JETIR2204443.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

" SPEECH EMOTION RECOGNITION USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 4, page no. ppe309-e317, April-2022, Available at : http://www.jetir.org/papers/JETIR2204443.pdf

Publication Details

Published Paper ID: JETIR2204443
Registration ID: 400800
Published In: Volume 9 | Issue 4 | Year April-2022
DOI (Digital Object Identifier):
Page No: e309-e317
Country: mumbai, maharastra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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