Bark Wavelet Transform of Speech and Its Application in Speech Recognition
Ke Yi · Dianzi xuebao · 2000
This paper firstly describes a novel perceptual wavelet and its transform of speech,which is based on Bark frequency scale concept coming from the speech perceptual experiment.In the nature of physics,it consists with human's cochlea filter properties;in the sense of mathematics,Bark wavelet transform is a kind of non orthonormal but overcomplete,reversible and self inverting wavelet transform.When it is applied in speech recognition,small analysis frame length is used by using the property of local base of wavelet transform,which can improve the time domain resolution of front end process.Experiment shows that the formed novel feature is superior to MFCC in the capability of distinguishing the consonants.