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The paper presents the particularities of using a Doppler radar in the 24 GHz band for non-contact cardiopulmonary monitoring. To separate heart beat from respiration we looked for a pattern in time-frequency domain instead of trying to extract directly the distance from phase observation in the baseband signal. By selecting the proper components from the Gabor transform prior expansion we obtained good accuracy for heart beat and respiration rates. Also, with minor correction in frequency, the algorithm leads to usable heartbeat waveform, opening new doors for further information extraction.

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The syllable is a speech synthesis unit that is successfully used in high quality speech synthesis systems. In support of a syllable based speech synthesis system, we consider necessary the realization of an algorithm for automatic syllabication. In this paper we present an algorithm for automatic syllabication. The algorithm starts by making the phonetic transcription of the word using a previously developed method which employs a set of phonetic rules represented through a XML scheme. Then it applies a set of rules for syllabication. The system obtained a 10.5% word error rate for syllabication and 4.79% word error rate for phonetic transcription using rules.