Speech enhancement using a Kalman-based normalized LMS algorithm | IEEE Conference Publication | IEEE Xplore

Speech enhancement using a Kalman-based normalized LMS algorithm


Abstract:

This paper deals with the problem of Adaptive Noise Cancellation (ANC) for the speech signal corrupted with an additive white Gaussian noise. After explaining the least M...Show More

Abstract:

This paper deals with the problem of Adaptive Noise Cancellation (ANC) for the speech signal corrupted with an additive white Gaussian noise. After explaining the least Mean Square (LMS)-based adaptive filter and Kalman filter, we examine the hybrid Kalman-based LMS (KLMS) technique for adaptation of the ANC. The proposed technique suggests a way to normalize LMS algorithm using Kalman filter. Our simulation shows that the KLMS method converges faster and is more stable compared to the LMS and its Normalized version, NLMS.
Date of Conference: 27-28 August 2008
Date Added to IEEE Xplore: 14 October 2008
ISBN Information:
Conference Location: Tehran, Iran

References

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