A new way to enhance speech signal based on compressed sensing

We propose a novel speech enhancement approach based on compressed sensing. The method performs noise subtraction in the measurement domain in addition to sparse recovery. Dictionary learning, using K-singular value decomposition algorithm, is performed to create an overcomplete dictionary. The noise in the measurement domain is estimated during pauses. Voice activity detection (VAD) is used to classify speech/silence frames. Based on the VAD...