Speech Enhancement Using Adaptive Kalman Filter Combined With Perceptual Weighting Filter
نویسندگان
چکیده
The speech enhancement is one of the important techniques used to improve the quality of a speech signal i.e. degraded by noise. Speech enhancement using conventional kalman filter require calculating the parameters of AR (auto-regressive) model, and performing a lot of matrix operations, which is non-adaptive. In this paper the proposed method i.e. adaptive kalman filter combined with perceptual weighting filter used to eliminate the matrix operations, reduces the calculating time and reduces the complexity. However the perceptual characteristics of the speech signal depends upon the perceptual characteristics of human ear. To further improve the performance of speech enhancement system, adaptive kalman filter combined with perceptual weighting filter, which is based on masking characteristics of human auditory system. Comparison of previous method it is very effective for speech enhancement.
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