Algorithm for Cepstral Analysis and Homomorphic Filtering for Glottal Feature Estimation in Speech Signals

Abstract

Cepstral analysis and homomorphic filtering, are widely used tools for speech analysis. This paper presents an algorithm for cepstral analysis of speech signals. Homomorphic speech processing and cepstrum estimation is performed using the fast Fourier transform (FFT), its inverse operation (IFFT) and the logarithmic magnitude, thus the estimation of cepstral parameters is reached. Using these characteristics, the calculation of glottal speech features is completed, using homomorphic filtering to separate the source and filter signals from the vocal tract response. The last part of this paper shows the obtained signals in the processing task and the analysis as a result of the algorithm process.