Acoustic Echo Cancellation: Dual Architecture Implementation

Stark, Birgit; Barkana, Buket D.

doi:10.3844/jcssp.2010.101.106

Cited by 6 publications

(4 citation statements)

References 9 publications

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“…The SNR is a measurement method based on an additive noise model, where the noisy signal x(n) is a superposition of the clean signal y(n) and the additive error e(n) and the global SNR (Suphatthara et al, 2010;Stark and Barkana, 2010) is calculated mathematically by:…”

Section: Signal To Noise Ratio (Snr)mentioning

confidence: 99%

A New Robust Hybrid Approach to Enhance Speech in Mobile Communication Systems

Sumithra¹

2011

American Journal of Applied Sciences

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Problem statement: The received voice signal in mobile communication is often disturbed by background noise and hence there is a need for good noise reduction methods for enhancing Speech. It is well known that denoising is a compromise between the removal of the largest possible amount of noise and the preservation of signal integrity. To address this issue, a new method for enhancing speech from background interference is presented in this study by fusing dual band spectral subtraction with adaptive noise estimator and wavelet packet based thresholding method. Approach: The proposed system uses the combination of dual band Spectral Subtraction method with adaptive noise estimator for pre-processing, in order to initially reduce the noise level and further the quality of speech is improved by Wavelet Packet Transform (WPT) based level dependent thresholding method. The threshold value is determined by using Steins Unbiased Risk Estimator (SURE) and hard, soft, Garrotte, µ-law and a proposed modified soft thresholding functions are considered for denoising. Results: The proposed method was investigated by ten different clean speech samples (five male and five female) taken from TIMIT database and thirteen different noise sources to degrade the speech artificially and the energy level of the noise is scaled such that the overall SNR of the noisy speech is maintained at -5, 0,5,10 and 15 dB and finally the results are evaluated using objective and subjective measures. Conclusion/Recommendations: It is suggested from the experimental results that the proposed scheme gives improved spectral performance, reflects in better speech quality in all types of noisy environment. For better speech enhancement in noise dominated regions, the system efficiency is further improved by fusing threshold values for wavelet denoising

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Section: Signal To Noise Ratio (Snr)mentioning

confidence: 99%

A New Robust Hybrid Approach to Enhance Speech in Mobile Communication Systems

Sumithra¹

2011

American Journal of Applied Sciences

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“…Paleologu proposed a double-talk robust variable step-size NLMS algorithm (VSSNLMS) [2] . Stark introduced a dual architecture approach [3] . Recently, Waterschoot proposed a RPE based AEC algorithm as robust and efficient solution to double-talk problem [4] .…”

Section: Introductionmentioning

confidence: 99%

Simplified RPE Algorithm and its Fixed-Point Implementation

Yuan¹,

Zha

2011

2011 Fourth International Conference on Intelligent Computation Technology and Automation

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In mobile communication it is necessary to remove acoustic echo. Most acoustic echo cancellation algorithms are sensitive to double-talk. Recursive prediction error (RPE) algorithm is one of the best solutions to such problem. However integrating the algorithm into headsets is a challenging task due to conversion from floating-point to fixed-point. To address this problem, the simplification approach and fixed-point implementation are proposed. Simulation results validate the simplification and its fixed-point implementation.

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“…However, the performance of these approaches will be affected during single-talk and echo path change. The results of our preliminary study [3] show that the adaptive algorithm based on recursive prediction error which proposed by Toon [4] outperforms the literature [1,2] and other adaptive step size control algorithms [5][6][7] . Its idea is to model near-end voice by adaptive autoregressive model so as to accelerate the convergence rate.…”

Section: Introductionmentioning

confidence: 99%

A Variable Step Size RPE Algorithm for Echo Cancelation

Yuan

Zhu²,

Wu³

et al. 2012

Proceedings of 2012 National Conference on Information Technology and Computer Science

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Acoustic echo cancellation (AEC) algorithms are widely used in communication devices. One of the main design problems is double-talk issue. The recursive prediction error (RPE) algorithm based on autoregressive (AR) model has been proven to be more attractive to traditional approaches. However, it adapts too fast in double-talk which may cause the algorithm to diverge. A variable step size (VSS) approach is developed to tackle the problem. On the assumption that prediction error is more than 10 times smaller than microphone signal when the adaptive filter has converged, the step size is adjusted adaptively according to the energies of near-end, far-end and prediction error signals. The experimental results show that our algorithm, compared with original RPE algorithm, the performance in double-talk is improved more than 8 dB while no any performance losses in single-talk and echo path change cases.

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Acoustic Echo Cancellation: Dual Architecture Implementation

Cited by 6 publications

References 9 publications

A New Robust Hybrid Approach to Enhance Speech in Mobile Communication Systems

A New Robust Hybrid Approach to Enhance Speech in Mobile Communication Systems

Simplified RPE Algorithm and its Fixed-Point Implementation

A Variable Step Size RPE Algorithm for Echo Cancelation

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