AUTOMATIC RECOGNITION OF CONTINUOUS SPEECH: CASE OF THREE PHONEMES SPECIFIC TO THE ARABIC LANGUAGE
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Published:
Dec 25, 2007
Keywords:
Continuous speech recognition - ZPR - energy - cepstral coefficients.
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Abstract
Nowadays, continuous speech recognition becomes one of the researcher’s greatest preoccupations. Various applications related to it justify this interest.
In this paper, we will show the importance of an acoustic vector choice to have a good recognition rate of Arabic phonemes in continuous speech.
Our study is about speech signals representation with a good choice of acoustic parameters such as Zero Passage Rate, Energy and Cepstral coefficients. The obtained results, using different combining parameters, show the importance of making the best choice of these parameters in order to reach a better recognition rate.
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How to Cite
Abbas, M., & Berkani, D. (2007). AUTOMATIC RECOGNITION OF CONTINUOUS SPEECH: CASE OF THREE PHONEMES SPECIFIC TO THE ARABIC LANGUAGE. AL-Lisaniyyat, 12(2), 133-144. https://doi.org/10.61850/allj.v12i2.208
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References
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[8] M. Abbas, M. Debyeche, "Reconnaissance Automatique des Phonèmes Arabes dans la Parole Continue", Seventh Magrebian Conference on Computer Sciences, vol.1, pp. 79-87, 6-8 mai 2002, Laboratoire de Recherche en Informatique (LRI), Université de Annaba, Algérie.
[9] J. P. Haton, « Reconnaissance automatique de la parole », Bordas, Paris, 1991.
[10] M. Abbas, M. Debyeche, " Un système de reconnaissance automatique de la parole en Multibandes", Conférence Internationale sur les Systèmes Complexes CISC’04, du 6 au 8 septembre 2004, Département Informatique, Faculté des Sciences de l’Ingénieur, Université de Jijel, Algérie. Http://www.univ-jijel.dz/(2004)
[11] Yves Laprie, "Analyse spectrale de la parole", Loria, France, 16 octobre 2002. Http://parole.loria.fr/(2005)
[2] J.W. Picone, "Signal Modeling Techniques in Speech Recognition", Proceedings of the IEEE, vol 81, n° 9, September 1993.
[3] Calliope, "La parole et son traitement automatique", Editeur J.P.TUBACH, Masson, Paris, 1989.
[4] R. Boite, H. Bourlard, T. Dutoit, J. Hancq et H. Leich, "Traitement de la parole", Presses Polytechniques et Universitaires Romandes, 2000.
[5] A. V. Oppenheim, R. W. Schafer, "Discrete Time Signal Processing", Prentice-Hall, Inc. Englewood cliffs, New Jersey, 1988.
[6] L. R. Rabiner, R. W. Schafer, "Digital Processing of Speech Signals", Prentice-Hall, Inc., Englewood Cliffs, New Jersey 07632, 1978.
[7] L. Rabiner, B. Juang, "Fundamentals of Speech Recognition", Englewood Cliffs NJ: PTR Prentice Hall (Signal Processing Series), c1993, ISBN 0-13-015157-2.
[8] M. Abbas, M. Debyeche, "Reconnaissance Automatique des Phonèmes Arabes dans la Parole Continue", Seventh Magrebian Conference on Computer Sciences, vol.1, pp. 79-87, 6-8 mai 2002, Laboratoire de Recherche en Informatique (LRI), Université de Annaba, Algérie.
[9] J. P. Haton, « Reconnaissance automatique de la parole », Bordas, Paris, 1991.
[10] M. Abbas, M. Debyeche, " Un système de reconnaissance automatique de la parole en Multibandes", Conférence Internationale sur les Systèmes Complexes CISC’04, du 6 au 8 septembre 2004, Département Informatique, Faculté des Sciences de l’Ingénieur, Université de Jijel, Algérie. Http://www.univ-jijel.dz/(2004)
[11] Yves Laprie, "Analyse spectrale de la parole", Loria, France, 16 octobre 2002. Http://parole.loria.fr/(2005)