Speech signal reconstruction from modified STFT magnitude spectra using homomorphic analysis/synthesis | ||||
| The International Conference on Electrical Engineering | ||||
| Article 184, Volume 6, 6th International Conference on Electrical Engineering ICEENG 2008, May 2008, Page 1-10 PDF (202.02 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/iceeng.2008.34637 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| Mahmud E. Gadallah; Alaa Rohaiem; Ayman El Gezawy | ||||
| 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. | ||||
| Keywords | ||||
| Cepstrum Coefficients; Speech signal reconstruction; Pitch extraction | ||||
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