مشاهده مشخصات مقاله
Improving the Noise Reduction Performance Using AEC-GSC for Reverberant Environments
|
Authors |
-
Pejman Mowlaee Begzade Mahale
-
Mohammad Hossein Kahaei
|
|
Conference |
دوازدهمین کنفرانس بینالمللی سالانه انجمن کامپیوتر ایران |
|
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. |
|
قیمت |
-
برای اعضای سایت : 100,000 Rial
-
برای دانشجویان عضو انجمن : 20,000 Rial
-
برای اعضای عادی انجمن : 40,000 Rial
|
خرید مقاله
|
|
.gif){kind=icon}