Adaptive Filter Algorithm with Shadow Mechanism for Speech ποΈ
Discover a new adaptive filter method using shadow mechanism to enhance speech signal processing. Read more in the article.

IJERT
12 views β’ Oct 21, 2021

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https://www.ijert.org/novel-method-for-adaptive-filter-algorithm-with-shadow-mechanism-for-speech-signal
IJERTV10IS090172
Novel Method for Adaptive Filter Algorithm with Shadow Mechanism for Speech Signal
Vaishali Popatrao Akolkar , A. A. Somani
Adaptive filters are successfully using in cancellation of echo and noise signals in signal processing, radar communications and in speech communication systems. Here we are proposing an Adaptive Filter with LMS Algorithm based on Shadow concept. Which is useful for the cancellation of the noise component overlap with speech signal in the same frequency range, but fixed LMS algorithm produces minimum convergence rate and fixed steady state error. So we presents design, implementation and performance of adaptive FIR filter, based on Shadow concept, which produces minimum mean square error compare to fixed LMS, and we also obtains de- noised speech signal at output, and also we propose to calculate SNR values of Adaptive Filter with LMS algorithm with and without Shadow concept. And also observe the output for adaptive filter using LMS and RLS algorithms.
https://www.ijert.org/novel-method-for-adaptive-filter-algorithm-with-shadow-mechanism-for-speech-signal
IJERTV10IS090172
Novel Method for Adaptive Filter Algorithm with Shadow Mechanism for Speech Signal
Vaishali Popatrao Akolkar , A. A. Somani
Adaptive filters are successfully using in cancellation of echo and noise signals in signal processing, radar communications and in speech communication systems. Here we are proposing an Adaptive Filter with LMS Algorithm based on Shadow concept. Which is useful for the cancellation of the noise component overlap with speech signal in the same frequency range, but fixed LMS algorithm produces minimum convergence rate and fixed steady state error. So we presents design, implementation and performance of adaptive FIR filter, based on Shadow concept, which produces minimum mean square error compare to fixed LMS, and we also obtains de- noised speech signal at output, and also we propose to calculate SNR values of Adaptive Filter with LMS algorithm with and without Shadow concept. And also observe the output for adaptive filter using LMS and RLS algorithms.
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12
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6:47
Published
Oct 21, 2021
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