Speech Enhancement Employing Variational Noise Model Composition for Robust Speech Recognition in Time-Varying Noisy Environments
نویسندگان
چکیده
This study proposes an effective noise estimation method for robust speech recognition in time-varying noise conditions. The proposed noise estimation scheme employs the Variation Model Composition (VMC) method, where multiple noise models are generated by selectively applying perturbation factors to the mean parameters of a basis noise model. The noise estimate is obtained by using the posterior probability of the multiple environmental models. The proposed noise estimation method is employed for the Spectral Subtraction (SS). Experimental results demonstrate that the proposed method is effective at increasing speech recognition performance in speech babble noise conditions.
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تاریخ انتشار 2014