독립 성분 분석과 스펙트럼 향상에 의한 잡음 환경에서의 음성인식

Speech Recognition in Noise Environment by Independent Component Analysis and Spectral Enhancement

In this paper, we propose a speech recognition method based on independent component analysis (ICA) and spectral enhancement techniques. While ICA tris to separate speech signal from noisy speech using multiple channels, some noise remains by its algorithmic limitations. Spectral enhancement techniques can compensate for lack of ICA's signal separation ability. From the speech recognition experiments with instantaneous and convolved mixing environments, we show that the proposed approach gives much improved recognition accuracies than conventional methods.