Syllabic segmentation algorithm for Arabic spoken isolated words

Abstract EN

Due to the characteristics of the syllabic formation in Arabic language and the fairly close correspondence between the acoustics and phonetics of these syllables, a syllable-based approach for speech recognition of the Arabic language has a high potential for success.

An experimental evaluation of an automatic algorithm for segmentation of speech into Arabic syllabic units is reported here.

The parameter used for segmentation is the overall energy of the acoustic signal.

Speech data consisting of mono-syllabic and poly-syllabic words were used to test the automatic Arabic syllabic segmentation algorithm.

The algorithm has the advantage of being simple to implement.