NON-STATIONARY/MIXED NOISE ESTIMATION METHOD BASED ON MINIUM STATISTICS AND CODEBOOK DRIVEN SHORT-TERM PREDICTOR PARAMETER ESTIMATION

摘要

PURPOSE: A non-stationary/mixed noise estimation method based on minimum statistics and a codebook driven short-term predictor parameter estimation method is provided to improve noise cancelation performance. CONSTITUTION: A first estimation value of a background noise included in a noisy speech is obtained using a minimum statistics. The background noise is eliminated from the noisy speech. A second estimation value of the residual noise is obtained using a codebook driven short-term predictor parameter estimation method. The residual noise is removed once again.