Contribution to the Creation of a Speech Synthesizer for the Arabic Languageur La Langue Arabe
Article Sidebar
Published:
Jun 28, 2014
Keywords:
TTS, Speech synthesis, Corpus, Bi-grams, Arabic language.
Main Article Content
Abstract
Due to its morphological and syntactic properties, the Arabic language is considered a very difficult language to master in the field of automatic speech processing and synthesis systems from Arabic text are therefore very few in number. The goal of our work is a contribution to the creation of a speech synthesis system by concatenation of units in a corpus for the Arabic language. The goal of our work is to create a speech synthesis system by concatenation of units in a corpus for the Arabic language called GArabic TTS under the Matlab environment. The text to be introduced is a non-voweled text which facilitates the use of the system, the output is only available for a male voice. The final evaluation of the overall quality of the system is deemed satisfied.
Article Details
How to Cite
Amrouche, A., Falek, L., & Teffahi, H. (2014). Contribution to the Creation of a Speech Synthesizer for the Arabic Languageur La Langue Arabe. AL-Lisaniyyat, 20(1), 105-117. https://doi.org/10.61850/allj.v20i1.509
Section
Articles
References
(1]
[4]
=
(=2}
Boite, R, Bourlard, H., Dutoit, T., Haneq J. and Leich, H., Traitement de la parole, chapitre : Synthèse de la parole à partir d'un texte”, Collection Electricité, Presses polytechniques et universitaires romandes, 345-441, 2000. Dutoit, T. and Cemäk, M..”TTSBOX: A Matlab toolbox for teaching Text-To- Speech Synthesis”, [EEEICASSP, 2005. Aljlayl, M. and Frieder, O., ”On Arabic Search: Improving the Retrieval Effec- tiveness via a Light Stemming Ap- proach”, In 11th International Conference on Information and Knowledge Manage- ment (CIKM), Virginia (USA), 340-347, 2002. Larkey, L. S., Ballesteros, L. and Connell M.. "Improving Stemming for Arabic In- formation Retrieval: Light Stemming and Co-occurrence Analysis”, In Proceedings of the 25th Annual International Confer-
[5]
[6] 7
[8]
[9]
ence on Research and Development in In- formation Retrieval (SIGIR), Tampere, Finland, 275-282, 2002. Boula, P., "Etude linguistique appliquée à la synthèse de la parole à partir du texte”, thèse de doctorat, Université de Paris XL, Orsay, 1997. http:/Awww.rosettastone.fr Chen, S.F. and Goodman, J.,’An empiri- cal study of smoothing techniques for language modeling”, Center for Research in Computing Technology, Harvard Uni- versity, Cambridge, Massachusetts, 1998. Toda, T., Kawai, H, Tsuzaki, M. and Shikano, K., ”Unit Selection for Japanese Speech Synthesis Based on Both Pho- neme Unit and Diphone Unit”, In Proc. of ICASSP, 1: 465-468, 2002. Breen, À. and Jackson, P.,"Non-Uniform Unit Selection and the Similarity Metric within BTs LAUREATE TTS System”, 3rd ESCA Int. Workshop, November 1998.
Contribution à la réalisation d’un synthétiseur de la parolepour la langue Arabe
[10] Prudon, R. and Alessandro, C., ”A Selec- tion/Concatenation Test-to-Speech Sys- tem: Databases Development, System Design, Comparative Evaluation”, 4th ISCA Tutorial and Research Workshop on Speech Synthesis, 2001. [11] Yi, GRW. and Glass, J., ’Information- Theoretic Criteria for Unit Selection Syn- thesis”, In Proc. of ICSLP, 2617-2620, 2002. [12] Lee, M., Lopresti, D.P. and Olive, I.P., "A Text-to- Speech Platform for Variable Length Optimal Unit Searching Using Perceptual Cost Functions”, 4th ISCA Tutorial and Research Workshop on Speech Synthesis, September 2001. [13] Peng, H., Zhao, Y. and Chu, M., ”Percep- tually Optimizing the Cost Function for Unit Selection in TTS System With one Single Run of MOS Evaluation”, In Proc. ofICSLP, 2613-2616, September 2002. [14] Donovan, RE. and Eide, E.M., ”The IBM Trainable Speech Synthesis System”, In Proc. of ICSLP, 1998. [15] Nomura, T., Mizuno, H. and Sato, H., ”Speech Synthesis by Optimum Concate- nation of Phoneme Segments”, Ist ESCA-IEEE Tutorial and Research Workshop on Speech Synthesis, 3942, 1990. [16] Pantazis, Y., Stylianou, Y. and Klabbers, E., ’Discontinuity Detection in Concate- nated Speech Synthesis Based on Nonlin- ear Speech Analysis”, In Proc. of Inter speech, 2005. [17] Charpentier, FJ. and Stella, M.G. “Diphones synthesis using an overlap-add technique for speech waveforms concate- nation”, In Proceedings of ICASSP, 1986.
[4]
=
(=2}
Boite, R, Bourlard, H., Dutoit, T., Haneq J. and Leich, H., Traitement de la parole, chapitre : Synthèse de la parole à partir d'un texte”, Collection Electricité, Presses polytechniques et universitaires romandes, 345-441, 2000. Dutoit, T. and Cemäk, M..”TTSBOX: A Matlab toolbox for teaching Text-To- Speech Synthesis”, [EEEICASSP, 2005. Aljlayl, M. and Frieder, O., ”On Arabic Search: Improving the Retrieval Effec- tiveness via a Light Stemming Ap- proach”, In 11th International Conference on Information and Knowledge Manage- ment (CIKM), Virginia (USA), 340-347, 2002. Larkey, L. S., Ballesteros, L. and Connell M.. "Improving Stemming for Arabic In- formation Retrieval: Light Stemming and Co-occurrence Analysis”, In Proceedings of the 25th Annual International Confer-
[5]
[6] 7
[8]
[9]
ence on Research and Development in In- formation Retrieval (SIGIR), Tampere, Finland, 275-282, 2002. Boula, P., "Etude linguistique appliquée à la synthèse de la parole à partir du texte”, thèse de doctorat, Université de Paris XL, Orsay, 1997. http:/Awww.rosettastone.fr Chen, S.F. and Goodman, J.,’An empiri- cal study of smoothing techniques for language modeling”, Center for Research in Computing Technology, Harvard Uni- versity, Cambridge, Massachusetts, 1998. Toda, T., Kawai, H, Tsuzaki, M. and Shikano, K., ”Unit Selection for Japanese Speech Synthesis Based on Both Pho- neme Unit and Diphone Unit”, In Proc. of ICASSP, 1: 465-468, 2002. Breen, À. and Jackson, P.,"Non-Uniform Unit Selection and the Similarity Metric within BTs LAUREATE TTS System”, 3rd ESCA Int. Workshop, November 1998.
Contribution à la réalisation d’un synthétiseur de la parolepour la langue Arabe
[10] Prudon, R. and Alessandro, C., ”A Selec- tion/Concatenation Test-to-Speech Sys- tem: Databases Development, System Design, Comparative Evaluation”, 4th ISCA Tutorial and Research Workshop on Speech Synthesis, 2001. [11] Yi, GRW. and Glass, J., ’Information- Theoretic Criteria for Unit Selection Syn- thesis”, In Proc. of ICSLP, 2617-2620, 2002. [12] Lee, M., Lopresti, D.P. and Olive, I.P., "A Text-to- Speech Platform for Variable Length Optimal Unit Searching Using Perceptual Cost Functions”, 4th ISCA Tutorial and Research Workshop on Speech Synthesis, September 2001. [13] Peng, H., Zhao, Y. and Chu, M., ”Percep- tually Optimizing the Cost Function for Unit Selection in TTS System With one Single Run of MOS Evaluation”, In Proc. ofICSLP, 2613-2616, September 2002. [14] Donovan, RE. and Eide, E.M., ”The IBM Trainable Speech Synthesis System”, In Proc. of ICSLP, 1998. [15] Nomura, T., Mizuno, H. and Sato, H., ”Speech Synthesis by Optimum Concate- nation of Phoneme Segments”, Ist ESCA-IEEE Tutorial and Research Workshop on Speech Synthesis, 3942, 1990. [16] Pantazis, Y., Stylianou, Y. and Klabbers, E., ’Discontinuity Detection in Concate- nated Speech Synthesis Based on Nonlin- ear Speech Analysis”, In Proc. of Inter speech, 2005. [17] Charpentier, FJ. and Stella, M.G. “Diphones synthesis using an overlap-add technique for speech waveforms concate- nation”, In Proceedings of ICASSP, 1986.