The a priori SDR Estimation Techniques with Reduced Speech Distortion for Acoustic Echo and Noise Suppression

Rattapol THOONSAENGNGAM; Nisachon TANGSANGIUMVISAI

doi:10.1587/transcom.E92.B.3022

The a priori SDR Estimation Techniques with Reduced Speech Distortion for Acoustic Echo and Noise Suppression

Rattapol THOONSAENGNGAM, Nisachon TANGSANGIUMVISAI

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This paper proposes an enhanced method for estimating the a priori Signal-to-Disturbance Ratio (SDR) to be employed in the Acoustic Echo and Noise Suppression (AENS) system for full-duplex hands-free communications. The proposed a priori SDR estimation technique is modified based upon the Two-Step Noise Reduction (TSNR) algorithm to suppress the background noise while preserving speech spectral components. In addition, a practical approach to determine accurately the Echo Spectrum Variance (ESV) is presented based upon the linear relationship assumption between the power spectrum of far-end speech and acoustic echo signals. The ESV estimation technique is then employed to alleviate the acoustic echo problem. The performance of the AENS system that employs these two proposed estimation techniques is evaluated through the Echo Attenuation (EA), Noise Attenuation (NA), and two speech distortion measures. Simulation results based upon real speech signals guarantee that our improved AENS system is able to mitigate efficiently the problem of acoustic echo and background noise, while preserving the speech quality and speech intelligibility.

Publication: IEICE TRANSACTIONS on Communications Vol.E92-B No.10 pp.3022-3033

Publication Date: 2009/10/01

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Online ISSN: 1745-1345

DOI: 10.1587/transcom.E92.B.3022

Type of Manuscript: Special Section PAPER (Special Section on Advanced Information and Communication Technologies and Services in Conjunction with Main Topics of APCC/COIN 2008)

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Rattapol THOONSAENGNGAM, Nisachon TANGSANGIUMVISAI, "The a priori SDR Estimation Techniques with Reduced Speech Distortion for Acoustic Echo and Noise Suppression" in IEICE TRANSACTIONS on Communications, vol. E92-B, no. 10, pp. 3022-3033, October 2009, doi: 10.1587/transcom.E92.B.3022.
Abstract: This paper proposes an enhanced method for estimating the a priori Signal-to-Disturbance Ratio (SDR) to be employed in the Acoustic Echo and Noise Suppression (AENS) system for full-duplex hands-free communications. The proposed a priori SDR estimation technique is modified based upon the Two-Step Noise Reduction (TSNR) algorithm to suppress the background noise while preserving speech spectral components. In addition, a practical approach to determine accurately the Echo Spectrum Variance (ESV) is presented based upon the linear relationship assumption between the power spectrum of far-end speech and acoustic echo signals. The ESV estimation technique is then employed to alleviate the acoustic echo problem. The performance of the AENS system that employs these two proposed estimation techniques is evaluated through the Echo Attenuation (EA), Noise Attenuation (NA), and two speech distortion measures. Simulation results based upon real speech signals guarantee that our improved AENS system is able to mitigate efficiently the problem of acoustic echo and background noise, while preserving the speech quality and speech intelligibility.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E92.B.3022/_p

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@ARTICLE{e92-b_10_3022,
author={Rattapol THOONSAENGNGAM, Nisachon TANGSANGIUMVISAI, },
journal={IEICE TRANSACTIONS on Communications},
title={The a priori SDR Estimation Techniques with Reduced Speech Distortion for Acoustic Echo and Noise Suppression},
year={2009},
volume={E92-B},
number={10},
pages={3022-3033},
abstract={This paper proposes an enhanced method for estimating the a priori Signal-to-Disturbance Ratio (SDR) to be employed in the Acoustic Echo and Noise Suppression (AENS) system for full-duplex hands-free communications. The proposed a priori SDR estimation technique is modified based upon the Two-Step Noise Reduction (TSNR) algorithm to suppress the background noise while preserving speech spectral components. In addition, a practical approach to determine accurately the Echo Spectrum Variance (ESV) is presented based upon the linear relationship assumption between the power spectrum of far-end speech and acoustic echo signals. The ESV estimation technique is then employed to alleviate the acoustic echo problem. The performance of the AENS system that employs these two proposed estimation techniques is evaluated through the Echo Attenuation (EA), Noise Attenuation (NA), and two speech distortion measures. Simulation results based upon real speech signals guarantee that our improved AENS system is able to mitigate efficiently the problem of acoustic echo and background noise, while preserving the speech quality and speech intelligibility.},
keywords={},
doi={10.1587/transcom.E92.B.3022},
ISSN={1745-1345},
month={October},}

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TY - JOUR
TI - The a priori SDR Estimation Techniques with Reduced Speech Distortion for Acoustic Echo and Noise Suppression
T2 - IEICE TRANSACTIONS on Communications
SP - 3022
EP - 3033
AU - Rattapol THOONSAENGNGAM
AU - Nisachon TANGSANGIUMVISAI
PY - 2009
DO - 10.1587/transcom.E92.B.3022
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E92-B
IS - 10
JA - IEICE TRANSACTIONS on Communications
Y1 - October 2009
AB - This paper proposes an enhanced method for estimating the a priori Signal-to-Disturbance Ratio (SDR) to be employed in the Acoustic Echo and Noise Suppression (AENS) system for full-duplex hands-free communications. The proposed a priori SDR estimation technique is modified based upon the Two-Step Noise Reduction (TSNR) algorithm to suppress the background noise while preserving speech spectral components. In addition, a practical approach to determine accurately the Echo Spectrum Variance (ESV) is presented based upon the linear relationship assumption between the power spectrum of far-end speech and acoustic echo signals. The ESV estimation technique is then employed to alleviate the acoustic echo problem. The performance of the AENS system that employs these two proposed estimation techniques is evaluated through the Echo Attenuation (EA), Noise Attenuation (NA), and two speech distortion measures. Simulation results based upon real speech signals guarantee that our improved AENS system is able to mitigate efficiently the problem of acoustic echo and background noise, while preserving the speech quality and speech intelligibility.
ER -