2013/05/13 by Sulaiman S. AlDahri, AlDahri, Sulaiman S.
Computer Science · Psychology · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Phonetics and Phonology Research #Sound (cs.SD) #Speech Recognition and Synthesis #Speech and Audio Processing #cs.CL #cs.SD
paper · pdf · doi:10.48550/arxiv.1305.2680
18 pages, Signal & Image Processing:An International Journal (SIPIJ), 2013 April
arxiv created 2013/05/13 · openalex publication_date 2013/05/13 · arxiv updated 2013/05/14 · openalex created_date 2016/06/24 · openalex updated_date 2026/07/28
The signal sound contains many different features, including Voice Onset Time (VOT), which is a very important feature of stop sounds in many languages. The only application of VOT values is stopping phoneme subsets. This subset of consonant sounds is stop phonemes exist in the Arabic language, and in fact, all languages. The pronunciation of these sounds is hard and unique especially for less-educated Arabs and non-native Arabic speakers. VOT can be utilized by the human auditory system to distinguish between voiced and unvoiced stops such as /p/ and /b/ in English.This search focuses on computing and analyzing VOT of Modern Standard Arabic (MSA), within the Arabic language, for all pairs of non-emphatic (namely, /d/ and /t/) and emphatic pairs (namely, /d?/ and /t?/) depending on carrier words. This research uses a database built by ourselves, and uses the carrier words syllable structure: CV-CV-CV. One of the main outcomes always found is the emphatic sounds (/d?/, /t?/) are less than 50% of non-emphatic (counter-part) sounds ( /d/, /t/).Also, VOT can be used to classify or detect for a dialect ina language.