Automatic speech segmentation using the Arabic phonetic database
Mohammed A. Al-Manie, Mohammed I. Alkanhal, Mansour Alghamdi · International Conference on Information and Automation · 2009
In this paper, a special algorithm is developed to accomplish segmentation for the Arabic speech based on energy level of the uttered words or sentences. In Arabic language, phonemes can be divided into two energy regions: unvoiced phonemes are categorized as low energy, for example, the sounds / ??? / (/s/) and / ??? / (/h/); On the other hand, vowels and semi-vowels such as / ??? / (???) (/ 'a /) and / ??? / (/w/) are categorized as high energy. Also included in this category are voiced fricatives; for instance the sounds / ??? / (/z/) and / ??? / (/aa/). The Arabic Phonetic Database (KAPD) developed by the Computer and Electronics Research Institute at KACST is utilized to perform the automatic segmentation of speech and test the developed algorithm.