학술논문
Optimizing speech enhancement based on noise masked probability
Document Type
Conference
Author
Source
6th International Conference on Signal Processing, 2002. Signal processing proceedings Signal Processing, 2002 6th International Conference on. 1:448-451 vol.1 2002
Subject
Language
Abstract
An optimal approach for enhancing a speech signal degraded by uncorrelated stationary additive noise, which exploits auditory perception properties, is proposed. Based on auditory masking effects, the speech spectra estimate is performed in two cases: noisy speech spectra for noise masked and classical spectral subtraction estimate for noise unmasked. Taking into account the uncertainty of the noise presence, the enhanced speech signal spectra are obtained by a weighted sum of these two estimates, where the weights are given by the noise masked probability. The performance of the proposed speech enhancement approach has been evaluated with speech distortion and informal listening tests. Compared with Azirani's method and the MMSE-STSA estimator, results show that the speech distortion has been decreased apparently and the musical noise has been suppressed.