다중 선형회귀 분석 기반의 음성 존재 불확실성 추정 기법

Abstract

Conventional speech enhancement techniques use a fixed ratio Q of the a priori probability of speech presence and speech absence, or determine the value of Q simply by comparing one particular parameter against a threshold in deriving the speech absence probability (SAP) associated with the speech presence probability. To further improve the performance of the SAP, we attempt to adaptively change Q according to a linear model consisting of the regression coefficients obtained by results from multiple linear regression analysis and two parameters: a priori SNR and the ratio between the local energy of the noisy speech and its derived minimum.