Hamming Generalized Low Time Liftered Cepstral Analysis

S. Bedi, R. Singh

Abstract


The main aim of this experiment is to separate the excitation of vocal tract components of the given speech signal by cepstral analysis. The first step is to convert the speech into short-term segments of size 15-20 ms. Then multiplication of each frame is carried out with the help of Hamming Window. The representation of short term speech in cepstral analysis is computed by finding the IDFT of log magnitude spectrum. In order to extract the deconvolved vocal tract and excitation component from the cepstrum liftering has to be done.

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DOI: https://doi.org/10.23956/ijarcsse/V7I6/0165

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