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Improved Speech Recognition Using High-Pass Filtering of Subband Envelopes

Authors:

Hans-Günter Hirsch, Peter Meyer, and Hans Wilhelm Rühl

Book Title:

Proceedings of European Conference on Speech Communication and Technology (EUROSPEECH)

Venue:

Genova, Italy

Event Date:

0.-0.9.1991

Organization:

ESCA

Date:

Sept. 1991

Pages:

413–416

Language:

English

Abstract

To cope with variablility of speech introduced by e.g. background noise, different conditions for training and recognition, and by changes of transmission or speaker characteristics, two series of experiments were carried out using high-pass filtering of spectral envelopes for speech recognition.

In the first series of experiments, FIR high-pass filters were evaluated to reduce the influence of background noise for isolated-word recognitio. Introducing high-pass filtering, S/N ration may be increased by 7 dB while keeping recognition rate constant at 95%.

In the second line of experiment, IIR high-pass filtering was examined to improve speaker independency and robustness of a connected-words recogniser. For 7-digit strings, the digit error rate was reduced from 21.8% to 2.0%.

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