Experimental Analysis of Kalman Filter in Speech Enhancement

نویسنده

  • Elizabeth George
چکیده

Speech enhancement is concerned with the processing of corrupted or noisy speech signal in order to improve the quality or intelligibility of the signal. There are so many applications of speech still to be far from reality just because of lack of efficient and reliable noise removal mechanism and preserving or improving the intelligibility for the speech signals. The aim of the speech enhancement techniques is to provide noiseless communication. To filter out the background noise from the desired speech signal several speech filtering algorithms has been introduced in last few years. In this paper Kalman Filter for speech enhancement has been proposed. The Kalman filter has been tuned to get a suitable value of Q by defining the robustness and sensitivity metrics and then applied on noisy speech signals.

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تاریخ انتشار 2017