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Continuous Hindi Speech Recognition in Real Time Using NI LabVIEW

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Speech and Language Processing for Human-Machine Communications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 664))

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Abstract

Speech is the most common form of communication, and the need of the hour is a robust speech recognition system. This paper aims to present an algorithm to design a continuous speech recognition system. The recognition of the speech utterances is done on a real-time basis using NI LabVIEW.

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References

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering, School of Engineering, Gautam Buddha University, Greater Noida, Uttar Pradesh, India

    Ishita Bahal, Ankit Mishra & Shabana Urooj

Authors
  1. Ishita Bahal
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  2. Ankit Mishra
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  3. Shabana Urooj
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Corresponding author

Correspondence to Ishita Bahal .

Editor information

Editors and Affiliations

  1. KIIT, Gurgaon, Haryana, India

    S. S. Agrawal

  2. Bhai Parmanand Institute of Business Studies, New Delhi, Delhi, India

    Amita Devi

  3. MCA Department, Bhrati Vidyapeeth’s Institute of Computer Applications and Management (BVICAM), New Delhi, Delhi, India

    Ritika Wason

  4. Maharaja Surajmal Institute of Technology, GGSIP University, New Delhi, Delhi, India

    Poonam Bansal

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Bahal, I., Mishra, A., Urooj, S. (2018). Continuous Hindi Speech Recognition in Real Time Using NI LabVIEW. In: Agrawal, S., Devi, A., Wason, R., Bansal, P. (eds) Speech and Language Processing for Human-Machine Communications. Advances in Intelligent Systems and Computing, vol 664. Springer, Singapore. https://doi.org/10.1007/978-981-10-6626-9_3

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  • DOI: https://doi.org/10.1007/978-981-10-6626-9_3

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6625-2

  • Online ISBN: 978-981-10-6626-9

  • eBook Packages: EngineeringEngineering (R0)

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