C. Software/Software Engineering
1. Improving the performance of MFCC for Persian robust speech recognition

D. Darabian; H. Marvi; M. Sharif Noughabi

Volume 3, Issue 2 , Summer 2015, , Pages 149-156

Abstract
  The Mel Frequency cepstral coefficients are the most widely used feature in speech recognition but they are very sensitive to noise. In this paper to achieve a satisfactorily performance in Automatic Speech Recognition (ASR) applications we introduce a noise robust new set of MFCC vector estimated through ...  Read More