Abstract
In this paper, we propose a novel feature compensation approach based on the interacting multiple model (IMM) algorithm specially designed for joint processing of background noise and acoustic reverberation. Our approach to cope with the time-varying environmental parameters is to establish a switching linear dynamic model for the additive and convolutive distortions in the log-spectral domain. The proposed approach shows significant improvements in the Aurora-5 automatic speech recognition (ASR) task which was developed to investigate the influence on the performance of ASR for a hands-free speech input in noisy room environments.
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