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ISSN 1004-9037
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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      1 Jan 2024, Volume 39 Issue 1   
    Article

    COMPARATIVE ANALYSIS OF VOCAL EMOTION RECOGNITION USING MACHINE LEARNING APPROACHES
    Savita Jain, Dr. Tarun Shrimali
    Journal of Data Acquisition and Processing, 2024, 39 (1): 1452-1465 . 

    Abstract

    The recognition of vocal emotions has gained significant attention in recent years due to its potential applications in human-computer interaction, affective computing, and psychological studies. Machine learning methodologies have emerged as effective tools for vocal emotion recognition, offering promising results. This paper presents a comprehensive review of the design of vocal emotion recognition systems using various machine learning approaches. The review compares different methodologies, evaluates speech databases using SWOT analysis, provides a comparative assessment, and presents analysis tables for a comprehensive understanding. Each section is elaborated with 3000 words, ensuring a detailed exploration of the topic.

    Keyword

    HCI, SER, ML, SWOT, Vocal Emotions


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ISSN 1004-9037

         

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