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Robust speech recognition using spectral subtraction and temporal structure normalization

Filtering approaches in spectral domain and features domain have been shown their effectiveness for robust speech recognition. In this paper, we propose a two step filtering method. In the first step, spectral subtraction filter is applied to speech spectrum. In the second step, we design a temporal structure normalization filter in order to apply to features extracted from the filtered spectrum. Our results on Aurora 2 show that the proposed method has higher recognition rate than both of spectral subtraction and temporal filtering methods.