Improving the Noise Reduction Performance Using AEC-GSC for Reverberant Environments
Publish place: 12th Annual Conference of Computer Society of Iran
Publish Year: 1385
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
ACCSI12_180
تاریخ نمایه سازی: 23 دی 1386
Abstract:
In this paper, noise reduction performance of the Generalized Side-lobe Canceller (GSC) algorithm and its performance degradation under reverberant environments are briefly reviewed. An acoustic echo canceller (AEC) is employed as a pre-processor for GSC noise reduction algorithm in order to improve the noise reduction performance of the GSC especially in highly reverberant environments where GSC alone fails to work properly. The proposed AEC-GSC algorithm consists of an AEC pre-processor, which includes Segment Variable Stepsize Proportionate Normalized Least Mean Square (SVS-PNLMS) algorithm recently proposed, and the GSC noise reduction algorithm.
The performance of both AEC-GSC and GSC alone is evaluated through computer simulations, using real speech recordings in reverberant room environment. Through different computer simulations it is demonstrated that the proposed AEC-GSC structure performs better than GSC alone in terms of speech distortion parameters and ERLE. It also presents a better tracking behavior between the pause intervals during a speech signal due to using the SVS-PNLMS algorithm in its AEC section.
Keywords:
AEC , AEC-BF , AEC-GSC , BF-AEC , ERLE , GSC , Microphone Array , NLMS , Speech intelligibility , Speech Distortion , SVS-PNLMS
Authors
Pejman Mowlaee Begzade Mahale
Msc Student, Electrical Department, Iran University of Science and Technology (IUST), Tehran, Iran
Mohammad Hossein Kahaei
Associate Professor, Faculty of Electrical Engineering, IUST, Tehran, Iran
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