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Application of cepstrum algorithms for speech recognition
Al-Shrouf A., , Al-Khayri A., Arqub M.A.
Published in Springer Verlag
Volume: 2718
Pages: 768 - 778
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. © Springer-Verlag Berlin Heidelberg 2003.
About the journal
JournalData powered by TypesetLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
PublisherData powered by TypesetSpringer Verlag
Open AccessNo