Translated Title
An Acceleration Method of Noise Estimation for the Abrupt Change of Noise Level
Translated Abstract
In order to impmve the tracking ability of the traditional noise estimation method when noise level changes abrupfly.an acceleration method for noise estimation is proposed based on the Minima Controlled Recursive Averaging (MCRA).First,the burst detection of power spectrum is performed.If a sudden change of power spectrum is detected,a hangover period with adaptive length is enabled.Then,in the hangover period,a Voice Activity Detection(VAD)method based on the logarithmic likelihood ratio.spectral entropy and average magnitude difference is employed to detect the pres- ence of speech.Finally,the update decision for noise estimation is made with the assistance of the ratio between noise esti-mation and power spectrum minimum.The test under 1TU-T G.160 shows that,if the noise level is stationary,the aceeleration method has no effect on the speech enhancement performance;while the noise level changes abruptly,the convergence time is reduced obviously,and the musical noise in the convergence period is also removed effectively.
Translated Keyword
speech enhancement
noise estimation
voice activity detection
spectral entropy
logarithmic likelihood ratio
average magnitude difference function
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