SySRA: A System of a Continuous Speech Recognition in Arab Language
We report in this paper the model adopted by our
system of continuous speech recognition in Arab language SySRA
and the results obtained until now. This system uses the database
Arabdic-10 which is a corpus of word for the Arab language and
which was manually segmented. Phonetic decoding is represented
by an expert system where the knowledge base is translated in the
form of production rules. This expert system transforms a vocal
signal into a phonetic lattice. The higher level of the system takes
care of the recognition of the lattice thus obtained by deferring it in
the form of written sentences (orthographical Form). This level
contains initially the lexical analyzer which is not other than the
module of recognition. We subjected this analyzer to a set of
spectrograms obtained by dictating a score of sentences in Arab
language. The rate of recognition of these sentences is about 70%
which is, to our knowledge, the best result for the recognition of the
Arab language. The test set consists of twenty sentences from four
speakers not having taken part in the training.
[1] Young, S.J. and al, multilingual vocabulary speech recognition,
Compuet Speech and Language 0-73-89-0, 1997.
[2] J.P. Haton, D. Fohr et M. Djoudi : Un système expert pour le décodage
acoustico-phonétique pour l-Arabe standard. Conférence Maghrébine,
Septembre 1989.
[3] Y. Belkaid : Les voyelles de l-Arabe littéraire moderne. Analyse
spectrographique Rapport N┬░ 16, travaux de l-institut de phonétique de
Strasbourg, 1984.
[4] O. Deroo, C. Ris: Hybrid HMM/ANN Systems speaker independent
continuous speech recognition in French. Travaux de l-école
Polytechnique de MONS Belgique, 2000.
[5] S. Abdelhamid : Contributions ├á l-étude et ├á la réalisation d-une machine
├á dicter en Fran├ºais. Thèse de Magister de l-institut d-informatique de
l-université de Batna, Algérie, 1994.
[6] M. Djoudi ET J.P. Haton: The SAPHA Acoustic Phonetic Decoder
System for standard Arabic. International conference on spoken
language processing, 1990.
[7] M. Guerti : Contribution ├á la synthèse de la parole en Arabe standard.
Actes des 16ème journées d-études sur la parole. Hammamet, Tunisie
1987.
[8] A. Giannini et M. Petorino. The Emphatic Consonants in Arabic. Giadini
Editori, 1982.
[9] Benhamouda : Morphologie et syntaxe de la langue Arabe. Nationale
Edition, 1983.
[10] N. Carbonell, J. P. Haton, D. Fohr. Aphodex: design and implementation
of an acoustic phonetic decoding expert system. IEEE: International
conference on Acoustics, speech and signal processing, 1986.
[11] V. Barreaud : Reconnaissance automatique de la parole continue:
compensation des bruits par transformation de la parole. Thèse de
l-université de Nancy1, 2004.
[1] Young, S.J. and al, multilingual vocabulary speech recognition,
Compuet Speech and Language 0-73-89-0, 1997.
[2] J.P. Haton, D. Fohr et M. Djoudi : Un système expert pour le décodage
acoustico-phonétique pour l-Arabe standard. Conférence Maghrébine,
Septembre 1989.
[3] Y. Belkaid : Les voyelles de l-Arabe littéraire moderne. Analyse
spectrographique Rapport N┬░ 16, travaux de l-institut de phonétique de
Strasbourg, 1984.
[4] O. Deroo, C. Ris: Hybrid HMM/ANN Systems speaker independent
continuous speech recognition in French. Travaux de l-école
Polytechnique de MONS Belgique, 2000.
[5] S. Abdelhamid : Contributions ├á l-étude et ├á la réalisation d-une machine
├á dicter en Fran├ºais. Thèse de Magister de l-institut d-informatique de
l-université de Batna, Algérie, 1994.
[6] M. Djoudi ET J.P. Haton: The SAPHA Acoustic Phonetic Decoder
System for standard Arabic. International conference on spoken
language processing, 1990.
[7] M. Guerti : Contribution ├á la synthèse de la parole en Arabe standard.
Actes des 16ème journées d-études sur la parole. Hammamet, Tunisie
1987.
[8] A. Giannini et M. Petorino. The Emphatic Consonants in Arabic. Giadini
Editori, 1982.
[9] Benhamouda : Morphologie et syntaxe de la langue Arabe. Nationale
Edition, 1983.
[10] N. Carbonell, J. P. Haton, D. Fohr. Aphodex: design and implementation
of an acoustic phonetic decoding expert system. IEEE: International
conference on Acoustics, speech and signal processing, 1986.
[11] V. Barreaud : Reconnaissance automatique de la parole continue:
compensation des bruits par transformation de la parole. Thèse de
l-université de Nancy1, 2004.
@article{"International Journal of Electrical, Electronic and Communication Sciences:57799", author = "Samir Abdelhamid and Noureddine Bouguechal", title = "SySRA: A System of a Continuous Speech Recognition in Arab Language", abstract = "We report in this paper the model adopted by our
system of continuous speech recognition in Arab language SySRA
and the results obtained until now. This system uses the database
Arabdic-10 which is a corpus of word for the Arab language and
which was manually segmented. Phonetic decoding is represented
by an expert system where the knowledge base is translated in the
form of production rules. This expert system transforms a vocal
signal into a phonetic lattice. The higher level of the system takes
care of the recognition of the lattice thus obtained by deferring it in
the form of written sentences (orthographical Form). This level
contains initially the lexical analyzer which is not other than the
module of recognition. We subjected this analyzer to a set of
spectrograms obtained by dictating a score of sentences in Arab
language. The rate of recognition of these sentences is about 70%
which is, to our knowledge, the best result for the recognition of the
Arab language. The test set consists of twenty sentences from four
speakers not having taken part in the training.", keywords = "Continuous speech recognition, lexical analyzer,
phonetic decoding, phonetic lattice, vocal signal.", volume = "1", number = "11", pages = "1638-3", }