Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India

Research Article

Analysis of Audio Visual Feature Extraction Techniques for AVSR System

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  • @INPROCEEDINGS{10.4108/eai.7-12-2021.2314528,
        author={Ashok Kumar  L and Karthika Renuka  D and Shunmuga Priya  M.C},
        title={Analysis of Audio Visual Feature Extraction Techniques for AVSR System},
        proceedings={Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India},
        publisher={EAI},
        proceedings_a={ICCAP},
        year={2021},
        month={12},
        keywords={audio visual speech recognition lip reading features acoustic features feature extraction},
        doi={10.4108/eai.7-12-2021.2314528}
    }
    
  • Ashok Kumar L
    Karthika Renuka D
    Shunmuga Priya M.C
    Year: 2021
    Analysis of Audio Visual Feature Extraction Techniques for AVSR System
    ICCAP
    EAI
    DOI: 10.4108/eai.7-12-2021.2314528
Ashok Kumar L1,*, Karthika Renuka D1, Shunmuga Priya M.C1
  • 1: PSG College of Technology
*Contact email: lak.eee@psgtech.ac.in

Abstract

Recently, Speech technology has started to change the way the human communicate with devices. Speech as a medium of man-machine interaction has been gaining its importance in the modern computer/mobile era. As a result, many computer programs incorporate cutting-edge voice technologies to do diverse jobs. Feature extraction is the foremost step in speech recognition. Understanding the importance of feature extraction methods, this work demystifies the concept behind feature extraction techniques used in audio visual speech recognition.