PERFORMANCE EVALUATION COMPARISON OF LMS AND NLMS ALGORITHM FOR AEC IN SPEECH PROCESSING
By: Gupta, Shivangi
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Contributor(s): Singh, Madhav.
Publisher: New Delhi Journals Pub 2019Edition: Vol.5(2), Jul-Dec.Description: 9-19p.Subject(s): EXTC EngineeringOnline resources: Click here
In:
International journal of digital communication and analog signalsSummary: An acoustic echo cancellation is a technique used to decrease the acoustic noise in corrupted speech signal. Adaptive filter is using to cancel the acoustic echoes. For better conversation in telecommunication application to achieve the control of acoustic echoes is important and for the proposed acoustic canceller echo algorithm is used to reduce unwanted noise. There is a requirement for more than thousands taps in acoustic echo path so this problem can be reduced by using different types of adaptive filtering technique namely, LMS and NLMS in MATLAB are executed. Based on convergence rates ERLE and computational complexity, the adaptive filtering algorithms like LMS, NLMS is used to cancel acoustic echo. Simulation results show that LMS algorithm has reduced convergence rate and least in complexity. The requirement of this algorithm uses an algorithm that has improved convergence rate and maintaining computational complexity, for this proposes NLMS algorithm is used, the limitation of this algorithm is very high computational complexity.
| Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
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Articles Abstract Database
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School of Engineering & Technology Archieval Section | Not for loan | 2020-2021191 |
An acoustic echo cancellation is a technique used to decrease the acoustic noise in corrupted speech signal. Adaptive filter is using to cancel the acoustic echoes. For better conversation in telecommunication application to achieve the control of acoustic echoes is important and for the proposed acoustic canceller echo algorithm is used to reduce unwanted noise. There is a requirement for more than thousands taps in acoustic echo path so this problem can be reduced by using different types of adaptive filtering technique namely, LMS and NLMS in MATLAB are executed. Based on convergence rates ERLE and computational complexity, the adaptive filtering algorithms like LMS, NLMS is used to cancel acoustic echo. Simulation results show that LMS algorithm has reduced convergence rate and least in complexity. The requirement of this algorithm uses an algorithm that has improved convergence rate and maintaining computational complexity, for this proposes NLMS algorithm is used, the limitation of this algorithm is very high computational complexity.
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