Speech signal reconstruction from modified STFT magnitude spectra using homomorphic analysis/synthesis

Document Type : Original Article

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Military Technical College.

Abstract

Abstract:
This work presents a low complexity method of reconstructing a speech signal from a
homomorphic Cepstrum Coefficients. The homomorphic deconvolution has been the
main core to explore the vocal tract envelope characteristics as well as the excitation
signal Pitch frequency in order to simplify the source speech signal as minimum as
possible. This work usually used for the purpose of speech coding in order to minimize
the communication bandwidth. In this work we have avoided some analytical and
reconstruction steps that used to cost extra processing time causing extra delay. Those
steps are usually used in the most existing methods for this kind of work. Those steps
include the samples overlapping lag and Iterative phase retaining algorithm. A set of
harmonic sine waves based on the pitch frequency is used as an excitation signal to the
vocal tract filter in order to regenerate the speech signal. The intelligibility of the
reconstructed signal obtained is 3.5 in MOS of a subjective test, although the speech
signal was still recognizable.

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