Journal of Computer and Communications

Vol.3 No.6(2015), Paper ID 56677, 9 pages

DOI:10.4236/jcc.2015.36001

 

Robust Speech Recognition System Using Conventional and Hybrid Features of MFCC, LPCC, PLP, RASTA-PLP and Hidden Markov Model Classifier in Noisy Conditions

 

Veton Z. Këpuska, Hussien A. Elharati

 

Electrical & Computer Engineering Department, Florida Institute of Technology, Melbourne, FL, USA
Electrical & Computer Engineering Department, Florida Institute of Technology, Melbourne, FL, USA

 

Copyright © 2015 Veton Z. Këpuska, Hussien A. Elharati et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

 

How to Cite this Article


Këpuska, V. and Elharati, H. (2015) Robust Speech Recognition System Using Conventional and Hybrid Features of MFCC, LPCC, PLP, RASTA-PLP and Hidden Markov Model Classifier in Noisy Conditions. Journal of Computer and Communications, 3, 1-9. doi: 10.4236/jcc.2015.36001.

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