Title :
Investigation of a parametric gain approach to single-channel speech enhancement
Author :
Gongping Huang ; Jingdong Chen ; Benesty, Jacob
Author_Institution :
CIAIC & Sch. of Marine Sci. & Technol., Northwestern Polytech. Univ., Xi´an, China
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 :
Wiener filters; frequency-domain analysis; mean square error methods; speech enhancement; MSE; frequency domain analysis; mean-squared error; parametric Wiener filtering technique; parametric Wiener gain; parametric gain approach; single-channel noise reduction; single-channel speech enhancement; Broadband communication; Distortion; Gain; Noise measurement; Signal to noise ratio; Speech; Noise reduction; Wiener gain; frequency domain; parametric gain; single-channel; speech enhancement;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on
Conference_Location :
South Brisbane, QLD
DOI :
10.1109/ICASSP.2015.7177961