awej 5 no.4 full issue 2014

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AWEJ Volume.5 Number.4, 2014Pp.365-380Towards Processing Arabic Minimal Syllable AutomaticallyMohammed DibUniversity of Mascara, AlgeriaAbstractThe purpose of this paper is to try to treat the Arabic minimal syllable automatically, so as to useArabic in the field of artificial intelligence. To this effect three technological tools are used; Goldwave ,SFS (Speech Filing System), and Neural Net Works to recognize automatically theminimal syllable located in first, mid, and final position of three Arabic words recorded by fortyAlgerian speakers of different age and sex. Eight experiments have been done in this workwhere the sounds have been recorded in Gold wave and treated in SFS and trained in NNW. Theresult show that The optimal neural net work is that of non- ordered data with one layer, fivenodes and 150 steps because it has given an error rate of 0.0032.The findings suggest theapplication of this type of neural net works in all syllables and all languages too because thesame principle can be used in all languages.Key words: Arabic, minimal, syllable, Gold wave, SFS, Neural Net WorksArab World English JournalISSN: 2229-9327www.awej.org365
AWEJ Volume.5 Number.4, 2014Towards Processing Arabic Minimal Syllable AutomaticallyDibIntroductionIt is unreasonable to ignore the importance of rapid changes resulting from globalization whoseoctopus hand tries to cover both of micro and macro fields and technological process inparticular, therefore should accept and cope with these changes so as to serve Arabic language,its community, and to solve problems such as human-machine communication. This papertreats how to process Arabic minimal syllable automatically, and there is no doubt that themotives behind this work are the sharp deficiencies of the Arabic language as far as computersciences are concerned. , and the problems that Arabic language faces nowadays with regard toglobalization which tries to put it back in the black despite its large number of words, its usersand its system in terms of flexibility and exactness. So English became the turbine engine ofglobalization, while Arabic loses its share in some Arabic countries and is even neglected by itsspeakers and researchers as well who do not endeavour to develop it as English researchers do.So, is this neglection due to its complicated system, or to other different reasons?In this research we would justify that: Arabic is a flexible language Its limited number of vowels can help easily in automatic speech recognitionThe main purpose of this experiment is to treat the Arabic minimal syllable automatically, soas to use Arabic in the field of artificial intelligence. In this account we try to identifylimitations that point the way to this research relying upon the aforementioned technologicaltools as means of recognition.A brief sketch of the outline can show two parts; a theoretical side and practical one. Thetheoretical side deals with speech recognition, intelligence, and neural net works. The practicalside, however, contains syllable, types of syllables in Arabic, corpus, informants, syllable inquestion, automatic treatment, result and a conclusion.1. Speech recognitionSpeech recognition can be viewed as a communication problem between man and machine,that is, machine tries to recognize a word sequence pronounced by a speaker whose speechproduction process is very complicated and goes through some stages; the brain first generatesthe text which is composed of word strings, then goes to the acoustic process where convertedinto audible wave form (WuChou,A ,2009p.14) In other words, an analog signal is convertedinto an acoustic signal or digital one to get classified decisions, or a variable stimulus istransformed into a constant response. (Plomp.R, 2002 p.94)Speech recognition is an inverse operation which starts from the speech wave form and endsin decoding a message. It is a mechanism able to decipher speech signal coming from the vocaltract or nasal cavity represented in a sequence of linguistic units found in the message that thespeaker wants to transmit (Rabiner.L Juang.B.H, 1993p.4).The final goal of automatic speech recognition is communication between man and machine.The interaction has known many applications due to the rapid growth of devices andtechnological programmes (Peinado.A. M,2002p.1). Automatic speech recognition requiresknowledge of many fields such as signal processing, acoustic phonetics, patterns recognition,communication, theory of information, and physiology.2. IntelligenceNo exact definition is found for the word intelligence , however some attempts were madeto clarify the term. It is the ability to reason in relation to the solution of a newArab World English Journalwww.awej.org 366ISSN: 2229-9327
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