Impact of a Newly Developed Modern Standard Arabic Speech Corpus on Implementing and Evaluating Automatic Continuous Speech Recognition Systems

Author:

Abushariah Mohammad A. M.,Ainon Raja N.,Zainuddin Roziati,Al-Qatab Bassam A.,Alqudah Assal A. M.

Publisher

Springer Berlin Heidelberg

Reference9 articles.

1. Elmahdy, M., Gruhn, R., Minker, W., Abdennadher, S.: Survey on common Arabic language forms from a speech recognition point of view. In: International Conference on Acoustics (NAG-DAGA), Rotterdam, Netherlands, pp. 63 – 66 (2009)

2. Alotaibi, Y.A.: Comparative Study of ANN and HMM to Arabic Digits Recognition Systems. Journal of King Abdulaziz University: Engineering Sciences 19(1), 43–59 (2008)

3. Kirchhoff, K., Bilmes, J., Das, S., Duta, N., Egan, M., Ji, G., He, F., Henderson, J., Liu, D., Noamany, M., Schone, P., Schwartz, R., Vergyri, D.: Novel approaches to Arabic speech recognition. In: Report from the 2002 Johns-Hopkins Summer Workshop, ICASSP 2003, Hong Kong, vol. 1, pp. 344–347 (2003)

4. Al-Sulaiti, L., Atwell, E.: The design of a corpus of Contemporary Arabic. International Journal of Corpus Linguistics, John Benjamins Publishing Company, 1 – 36 (2006)

5. Nikkhou, M., Choukri, K.: Survey on Industrial needs for Language Resources. Technical Report, NEMLAR – Network for Euro-Mediterranean Language Resources (2004)

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