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Interactive Voice Technology for Telecommunications Applications (IVTTA'98)Torino, Italy |
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Interactive Voice Technology for Telecommunications Applications (IVTTA'98)Torino, Italy |
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The use of speech recognition systems in noisy environments requires robustness to adverse conditions. An efficient detection of speech/non-speech segments is therefore necessary. Several approaches have been proposed in order to improve the robustness of speech/non-speech detection used for speech recognition in noisy conditions. In this paper, we describe a robust speech/non-speech detection algorithm based on the estimation of noise statistics: mean and variance. Results of several experiments carried out on a database collected over the GSM network show that this new approach improves the recognizer's global performances, especially in very noisy environments. Then, spectral subtraction is used as a preprocessing technique aiming to increase the robustness to noisy conditions. We show that the improvements concern mainly noisy conditions such as calls from outside or from running cars.
Bibliographic reference. Karray, Lamia / Mokbel, Chafic / Monne, Jean (1998): "Solutions for robust speech/non-speech detection in wireless environment", In IVTTA'98, 166-170.