White Papers

Automatic Speech Recognition With a Modified Ephraim-Malah Rule

Overview A soft decision gain modification is introduced and applied to the Ephraim-Malah gain function based on Maximum Mean Square Error Estimation (MMSE) after amplitude compression. Non-linear evaluations of the noise overestimation factor and spectral floor are used in the same way for the proposed gain modification and for Non-linear Spectral Subtraction (NSS). Consistent and statistically significant ASR improvements of the proposed approach with respect to NSS are observed for different noise conditions considered in the Aurora-2 and Aurora-3 corpora. As the non-linearity affects the two approaches in the same way, the result of comparison is particularly interesting.

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Publisher: University of Avignon
File Format: PDF
Date Published: Dec 13, 2008
Format: White Papers
Topics: Voice Recognition

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