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Issue No:12, Vol.3 |
Dec - 2010 |
ISSN: 0974-5645 |
| RESEARCH ARTICLES |
Viewers & PDF |
| .2. Arabic speech segmentation: Automatic verses manual method and zero crossing measurements. Mohammed A. Al-Manie, Mohammed I. Alkanhal and Mansour M. Al-Ghamdi. Indian J.Sci.Technol. Vol. 3, Issue 12, pp: 1134-1138. Domain site: http://www.indjst.org. |
 
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- Abstract
In this paper, a comparison between the automatic and manual approach of speech segmentation for the Arabic
speech is conducted. In this approach, the automatic method, using the energy level measurement is compared to the
manual segmentation procedure. The traditional zero crossing method commonly used for speech processing is also
included in this work. The energy measurement method is based on dividing the uttered tokens into different levels. For
instance, the Arabic language phonemes are divided into two energy regions: unvoiced phonemes which can be
categorized as low energy include the sounds / س / (/s/) and / ه / (/h/). On the other hand, vowels and semi-vowels such
as / _َ / ( فتحه ) (/ ‘a /) and / و / (/w/) are labeled as high energy. Voiced fricatives, for instance, the sounds / ز / (/z/) and / /ع
(/aa/) are classified as high energy phonemes.
- Keywords: Manual speech segmentation, automatic speech segmentation, voiced phonemes, voiceless phonemes.
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