Application of cepstrum algorithms for speech recognition

Authors:
Anwar Al-Shrouf;Raed Abu Zitar;Ammer Al-Khayri;Mohmmed Abu Arqub
Affiliations:
Al-Kharj Technical College, Saudi Arabia;College of Information Technology, Philadelphia University, Jordan;College of Information Technology, Philadelphia University, Jordan;Dept. of Computer Science, Petra Private University, Amman, Jordan
Venue:
IEA/AIE'2003 Proceedings of the 16th international conference on Developments in applied artificial intelligence
Year:
2003

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Abstract

This paper proposes a novel method for speech recognition. This is method based on the calculation of correlation coefficients of cepestrum by linear prediction (LP). The results of the method is compared with other methods. The real cepstrum is used to separate/estimate the spectral content of the speech from its pitch frequencies. Some notes regarding the efficiency of the processors used in the simulations are also concluded.