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Artificial Intelligence and Evolutionary Computations in Engineering Systems pp 173–183Cite as

Accoustic Modeling for Development of Accented Indian English ASR

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 394))

Abstract

This paper investigates Indian English from the point of view of a speech recognition problem. A novel approach towards building an Automated Speech Recognition System (ASR) for Indian English using PocketSphinx has been proposed. The system was trained with a database of English words spoken by Indians in three different accents using continuous as well as semi-continuous models. We have compared the performances in each case and the optimum case performance comes close to 98 % accurate. Based on this study, we tweaked the original PocketSphinx Android application in order to incorporate our results and present it as an Indian English-based SMS sending application. We are working further on this approach to identify ways of successfully training a speech recognition system to recognize a much wider variety of Indian accents with much more significant accuracy.

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Author information

Authors and Affiliations

  1. Department of Information Technology, ABV-IIITM, Gwalior, India

    Partho Mandal, Gaurav Ojha & Anupam Shukla

  2. KIIT Group of Colleges, Gurgaon, India

    S. S. Agrawal

Authors
  1. Partho Mandal
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  2. Gaurav Ojha
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  3. Anupam Shukla
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  4. S. S. Agrawal
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Corresponding author

Correspondence to Gaurav Ojha .

Editor information

Editors and Affiliations

  1. Electrical and Electronics Engineer, SRM Engineering College, Kattankulathur, Tamil Nadu, India

    Subhransu Sekhar Dash

  2. Electrical & Electronics Engineering, Velammal Engineering College, Chennai, Tamil Nadu, India

    M. Arun Bhaskar

  3. Dept Electrical & Electronics Engg, IIT Delhi, New Delhi, India

    Bijaya Ketan Panigrahi

  4. Indian Statistical Institute, Kolkata, India

    Swagatam Das

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Mandal, P., Ojha, G., Shukla, A., Agrawal, S.S. (2016). Accoustic Modeling for Development of Accented Indian English ASR. In: Dash, S., Bhaskar, M., Panigrahi, B., Das, S. (eds) Artificial Intelligence and Evolutionary Computations in Engineering Systems. Advances in Intelligent Systems and Computing, vol 394. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2656-7_16

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  • DOI: https://doi.org/10.1007/978-81-322-2656-7_16

  • Published:

  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2654-3

  • Online ISBN: 978-81-322-2656-7

  • eBook Packages: EngineeringEngineering (R0)

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