Estimation of a white Gaussian noise in the Short Time Fourier Transform based on the spectral kurtosis of the minimal statistic

In this paper we present a noise level estimator using minimal values of the Short Time Fourier Transform of a signal embedded in a white Gaussian noise. The spectral kurtosis of the smallest values is used to estimate the variance of the noise without any a priori knowledge on the signal. This estimation is illustrated on both a synthetic and speech signal. A dolphin whistle detection in underwater noise is given as an application.

• Type: Conference
• Year: 2010
• Where: ICASSP
• Authors: Fabien Millioz, Nadine Martin
• Keywords: ICASSP 2010, Noise Level Estimator, Signal Processing, Time Fourier Transform, White Gaussian Noise