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Real-time connected-word recognition in a noisy environment

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6 Author(s)
Noll, A. ; Philips GmbH Forschunglab. Hamburg, West Germany ; Hamer, H.H. ; Piotrowski, H. ; Ruehl, H.W.
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The authors deal with connected-word recognition in high-noise environments, especially for car applications. A description of some preprocessing methods that significantly improve a given recognition system is given. A large database recorded in a car at a speed of 120 km/h (75 m.p.h.) was used for the recognition experiments. When the car database was used instead of low-noise data, the performance of the system dropped from about 1% error rate to 14.5%. Introducing a dynamic compression algorithm, a spectral weighting method, noise cancellation, and embedded training improved the performance to an error rate of about 3%

Published in:

Acoustics, Speech, and Signal Processing, 1989. ICASSP-89., 1989 International Conference on

Date of Conference:

23-26 May 1989