@inproceedings{c6dc10c1227c4ad7ad79ca9802689c71,
title = "An evaluation of noise power spectral density estimation algorithms in adverse acoustic environments",
abstract = "Noise power spectral density estimation is an important component of speech enhancement systems due to its considerable effect on the quality and the intelligibility of the enhanced speech. Recently, many new algorithms have been proposed and significant progress in noise tracking has been made. In this paper, we present an evaluation framework for measuring the performance of some recently proposed and some well-known noise power spectral density estimators and compare their performance in adverse acoustic environments. In this investigation we do not only consider the performance in the mean of a spectral distance measure but also evaluate the variance of the estimators as the latter is related to undesirable fluctuations also known as musical noise. By providing a variety of different non-stationary noises, the robustness of noise estimators in adverse environments is examined.",
keywords = "Noise power estimation, speech enhancement",
author = "Jalal Taghia and Jalil Taghia and Nasser Mohammadiha and Jinqiu Sang and Vaclav Bouse and Rainer Martin",
year = "2011",
doi = "10.1109/ICASSP.2011.5947389",
language = "英语",
isbn = "9781457705397",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
pages = "4640--4643",
booktitle = "2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings",
note = "36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 ; Conference date: 22-05-2011 Through 27-05-2011",
}