@inproceedings{d1732ae7c30f4dc887ebc8d92fdd21a7,
title = "Investigation of a parametric gain approach to single-channel speech enhancement",
abstract = "This paper investigates a parametric gain approach to single-channel noise reduction in the frequency domain. In comparison with the traditional parametric Wiener gain, the major novelty of this presented approach is that the parametric gain is formulated to estimate the noise by using the mean-squared error (MSE) between the noise and the noise estimate. The enhanced signal is then obtained by subtracting the noise estimate from the noisy observation signal. We show that this new method is more practical to implement and can produce better noise reduction performance as compared to the traditional parametric Wiener filtering techniques if the order of the parametric gain is not equal to 1. If the order is 1, the parametric gain is similar to the traditional Wiener gain. Simulation results are presented to illustrate the properties of this new approach.",
keywords = "frequency domain, Noise reduction, parametric gain, single-channel, speech enhancement, Wiener gain",
author = "Gongping Huang and Jingdong Chen and Jacob Benesty",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 ; Conference date: 19-04-2014 Through 24-04-2014",
year = "2015",
month = aug,
day = "4",
doi = "10.1109/ICASSP.2015.7177961",
language = "英语",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "206--210",
booktitle = "2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings",
}