An Overview of Speech Feature Enhancement Method
HE Yong-ju · Harbin Ligong Daxue xuebao · 2014
Speech recognition has made great progress through decades of development,but the performance of all speech recognition systems is still difficult to meet the needs of practical application. An important cause of this situation is that current system is still difficult to adapt to noise environments. Therefore,enhancing the noise robustness of speech recognition system is important to promote it to practical application. This paper systematically includes speech feature enhancement methods in literature,including signal enhancement,discriminant feature extraction from the hearing level,and feature normalization and feature compensation. We also analyze their limitations. On this basis,we introduce the sparse coding and analyse the basic problems to be solved when used in speech feature extraction,providing a reference for researchers engaged in robust speech recognition.