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Emotion Recognition of Speech in Hindi Using Dimensionality Reduction and Machine Learning Techniques

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Information and Communication Technology and Applications (ICTA 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1350))

Abstract

This study primarily focuses on integrating various types of speech features and different statistical techniques to reduce the data in all dimensions. To predict human beings, the existing machine learning algorithms were applied to train the available dataset to obtain better results. This will result in obtaining much better response from machines by processing the human instruction & related emotions. Through machine learning techniques emotion recognition system can be work effectively and results will be comparable through code of python language. To improve the performance of emotion recognition (ER) statistical techniques principal component analysis (PCA) and linear discriminant analysis (LDA) to fetch the essential information from the dataset. After applying Naïve Bayes classification (NBC) on the speech corpus collected from non-dramatic actor the results shows that, NBC generates better results than the exiting machine learning (ML) classification techniques such as K-means nearest neighbor algorithm (KNN),Support vector machine (SVM) & decision tree(DT). This paper presents the results of various ML techniques that is used for finding out ER. Through SVM prediction rate achieved 39% and decision tree recognition rate achieved 29% only and when applied NBC results is 72.77%. This study presents the change of prediction rate while change of dataset happened.

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Authors and Affiliations

  1. USIC&T, Guru Gobind Singh Indraprastha University, New Delhi, India

    Akshat Agrawal & Anurag Jain

Authors
  1. Akshat Agrawal
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  2. Anurag Jain
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Corresponding author

Correspondence to Akshat Agrawal .

Editor information

Editors and Affiliations

  1. Covenant University, Ota, Nigeria

    Sanjay Misra

  2. Federal University of Technology Minna, Minna, Nigeria

    Bilkisu Muhammad-Bello

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Agrawal, A., Jain, A. (2021). Emotion Recognition of Speech in Hindi Using Dimensionality Reduction and Machine Learning Techniques. In: Misra, S., Muhammad-Bello, B. (eds) Information and Communication Technology and Applications. ICTA 2020. Communications in Computer and Information Science, vol 1350. Springer, Cham. https://doi.org/10.1007/978-3-030-69143-1_10

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  • DOI: https://doi.org/10.1007/978-3-030-69143-1_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-69142-4

  • Online ISBN: 978-3-030-69143-1

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