The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Cet article propose une méthode améliorée pour estimer le rapport signal sur perturbation (SDR) a priori à utiliser dans le système de suppression de l'écho acoustique et du bruit (AENS) pour les communications mains libres en duplex intégral. La technique d'estimation SDR a priori proposée est modifiée sur la base de l'algorithme de réduction du bruit en deux étapes (TSNR) pour supprimer le bruit de fond tout en préservant les composantes spectrales de la parole. En outre, une approche pratique permettant de déterminer avec précision la variance du spectre d'écho (ESV) est présentée, basée sur l'hypothèse d'une relation linéaire entre le spectre de puissance de la parole distante et les signaux d'écho acoustique. La technique d'estimation ESV est ensuite utilisée pour atténuer le problème d'écho acoustique. Les performances du système AENS qui utilise ces deux techniques d'estimation proposées sont évaluées à travers l'atténuation de l'écho (EA), l'atténuation du bruit (NA) et deux mesures de distorsion de la parole. Les résultats de simulation basés sur des signaux vocaux réels garantissent que notre système AENS amélioré est capable d'atténuer efficacement le problème de l'écho acoustique et du bruit de fond, tout en préservant la qualité et l'intelligibilité de la parole.
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Copier
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
Copier
@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},}
Copier
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 -