AM

Abhijit Mohanta

Indian Institute of Information Technology Sri City, International Institute of Information Technology Hyderabad, Assam Don Bosco University

ORCID iD 0000-0002-6368-0328
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About

Research interests of Abhijit Mohanta include speech signal processing, analysis of vowel sounds (especially vocalized by children with autism), analysis of distinctive speech signals, linguistics, speech emotion analysis, and machine learning.

Employment

  • Indian Institute of Information Technology Sri City Teaching Assistant
    2018 - 2019
  • International Institute of Information Technology Hyderabad Intern
    2018 - 2018
  • International Institute of Information Technology Hyderabad Intern
    2017 - 2017

Education

  • Indian Institute of Information Technology Sri City M.S. by Research
    2016 - Present
  • Assam Don Bosco University Master of Computer Applications (MCA)
    2013 - 2016

Projects & Funding

Projects & funding information is unavailable.

Publications (10)

  • Analysis and classification of speech sounds of children with autism spectrum disorder using acoustic features
    Computer Speech & Language 2022 DOI: https://doi.org/10.1016/j.csl.2021.101287
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  • Acoustic Features Characterization of Autism Speech for Automated Detection and Classification
    2020 National Conference on Communications (NCC) 2020
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  • Classifying Speech of ASD Affected and Normal Children Using Acoustic Features
    2020 National Conference on Communications (NCC) 2020
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  • Autism Speech Analysis using Acoustic Features
    Proceedings of the 16th International Conference on Natural Language Processing (ICON) 2019
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  • Acoustic Features for Characterizing Speech of Children Affected with ASD
    2019 IEEE 16th India Council International Conference (INDICON) 2019
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  • Analyzing autism speech of children in English vowels regions
    In Proc. Workshop On Speech Processing For Voice, Speech And Hearing Disorders (WSPD 2018), [INTERSPEECH 2018 Satellite Workshop] 2018
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  • Analyzing autism speech of children in english vowels regions by analysis of changes in production features
    Proceedings of the 15th International Conference on Natural Language Processing (ICON) 2018
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  • Emotion recognition from speech signal
    TENCON 2017-2017 IEEE Region 10 Conference 2017
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  • Human emotional states classification based upon changes in speech production features in vowel regions
    2017 2nd International Conference on Telecommunication and Networks (TEL-NET) 2017
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  • Classifying emotional states using pitch and formants in vowel regions
    2016 International Conference on Signal Processing and Communication (ICSC) 2016
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