Automotive speech control in a non-stationary noisy environment

Authors:
Tom Z. Qi;Tom J. Moir
Affiliations:
School of Engineering and Advanced Technology, Massey University, Albany, New Zealand/ Applied Technology Institute, Unitec Institute of Technology, Auckland, New Zealand.;School of Engineering and Advanced Technology, Massey University, Albany, New Zealand
Venue:
International Journal of Computer Applications in Technology
Year:
2010

Citing 2
Cited 0

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GSVD-based optimal filtering for single and multimicrophone speech enhancement

IEEE Transactions on Signal Processing

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Abstract

This paper presents a novel in-car design to recognise the driver's voice and to control in-car devices. In a non-stationary noise car environment, a speech recognition kit SR-07 with speech recognition chip HM2007 has less than 10% successful hit-rate. With an adaptive Wiener filter, the successful hit-rate has improved to as much as 75%.