Arabic speech processing : syllabic segmentation and speech recognition
A detailed description of the Arabic Phonetic
System is given. The syllabic behaviour of the
Arabic language is highlighted. Basic statistical
properties Of the Arabic language (phoneme and
syllabic frequency of repetition) are included.
A thorough review of the speech processing
techniques, used in speech analysis, synthesis and
recognition applications are presented.
The development of a PC-based speech processing
system is described. The system has proven to be a
useful tool in Arabic speech analysis and recognition
A sample speotrographic study of two pairs of
Arabic similar sounds was performed. it is shown
that no clear acoustical property exist in
distinguishing between the phonemes /O/ and /f/
except the gradual rise of F1 during formant
The development of an automatic Arabic syllabic
segmentation algorithm is described. The performance
of the algorithm is tested with monosyllabic and
multisyllabic words. An overall accuracy of 92% was
achieved. The main parameters affecting the accuracy
of the segmentation algorithm are discussed.
The syllabic units generated from applying the
Arabic syllabic segmentation algorithm are utilized
in the implementation of three major speech
applications, namely, automatic Arabic vowel
recognition system, isolated word recognition system
and an acoustic-phonetic model for Arabic. Each
application is fully described and its performance
results are indicated.