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This paper presents an algorithm for segmenting a subset of emphatic and non-emphatic sounds automatically from continuously spoken Arabic speech. The important contribution of this paper is to generate rules for automatic segmentation of these sounds which can be extended to the rest of Arabic sounds. In addition, the findings can be used for other speech analysis problems such as data training for speech recognizers, continuous speech segmentation systems, or to build and label Arabic databases. This study has been done in context of recited principles of the Holy Quran which commonly known as recitation rules. The method developed is based on peaks detection from delta function of Mel Frequency Cepstral Coefficients MFCC .The peaks position is used for boundaries locating of the target sounds within the speech signal. Medium vocabulary speech database was used to evaluate the system performance. The test database contained 80 recited words. Each word was recorded from six different speakers constituting total of 480 words. A significant increase in accuracy rate has been achieved compared to the prior work of [1, 2] by enhancing the developed algorithm. Results show that the enhanced algorithm achieved a segmentation accuracy of up to 90%.

A 3D coupled electromagnetic thermal model was developed using COMSOL 4.0 to predict the electromagnetic field distribution and temperature profile in pathological tissue samples immersed in a reagent inside the oven cavity. The effect of the volume of reagent on the mean heating rate and heating uniformity within the tissue sample was investigated. Also, the effect of using a water load, as a method of temperature control, is emphasized. A well insulated K type thermocouple connected to a PC is used for model validation. Good agreement is found between experimental and simulated temperature profiles. Results show that as the volume of reagent increases, the mean heating rate decreases and temperature homogeneity increases. Also, it is possible to minimize overshooting temperature values inside the tissue sample and enhance tissue uniformity by about 27% using 100 ml of water load and 42.26% using 150 ml. Domestic microwave oven is a low cost economical tool that can speed up tissue processing steps. Achieving uniform heating inside the microwave oven is the key factor for improving workflow inside pathological labs and maintaining tissue quality and integrity.

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