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In-vehicle Noise and Enhanced Speech Intelligibility

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Neural Information Processing (ICONIP 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3316))

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Abstract

In-Car speech recognition will be pervasive over the coming years. The goal of speech enhancement is to increase the quality and intelligibility of speech in a noisy environment. The focus of the present research is to evaluate the effect of speech enhancement on the intelligibility of spoken language in a moving vehicle. Here, an ECoS network is used as a model to evaluate the intelligibility. A baseline performance was established using clean speech data. This data was then mixed with various types of in-vehicle noise at several signal-to-noise ratios. Speech enhancement techniques were applied to the noisy speech data. The performance of the ECoS model was evaluated when the noisy and enhanced speech was presented. Several factors were found to affect the recognition rate, including noise type and noise volume.

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Author information

Authors and Affiliations

  1. KEDRI, Auckland University of Technology, Private Bag 92006, Auckland, New Zealand

    Akbar Ghobakhlou

  2. Navman NZ Limited, PO Box 68155, Newton, Auckland, New Zealand

    Richard Kilgour

Authors
  1. Akbar Ghobakhlou
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  2. Richard Kilgour
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Editor information

Editors and Affiliations

  1. Indian Statistical Institute, Electronics and Communication Sciences Unit, Kolkata, India

    Nikhil Ranjan Pal

  2. School of Computer and Information Sciences, Knowledge Engineering and Discovery Research Institute (KEDRI), Auckland University of Technology, Private Bag 92006, Auckland, New Zealand

    Nik Kasabov

  3. Department of Instrumentation and Electronics Engineering, Jadavpur University, Salt-lake Campus, 700098, Calcutta, India

    Rajani K. Mudi

  4. Indian Statistical Institute, 203 B. T. Road, 700 108, Calcutta,  

    Srimanta Pal

  5. Indian Statistical Institute, Computer Vision and Pattern Recognition Unit, 700108, Kolkata, India

    Swapan Kumar Parui

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© 2004 Springer-Verlag Berlin Heidelberg

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Ghobakhlou, A., Kilgour, R. (2004). In-vehicle Noise and Enhanced Speech Intelligibility. In: Pal, N.R., Kasabov, N., Mudi, R.K., Pal, S., Parui, S.K. (eds) Neural Information Processing. ICONIP 2004. Lecture Notes in Computer Science, vol 3316. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30499-9_57

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  • DOI: https://doi.org/10.1007/978-3-540-30499-9_57

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23931-4

  • Online ISBN: 978-3-540-30499-9

  • eBook Packages: Springer Book Archive

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