Publisher
Springer Science and Business Media LLC
Subject
Computer Vision and Pattern Recognition,Linguistics and Language,Human-Computer Interaction,Language and Linguistics,Software
Reference34 articles.
1. Al-Ayyoub, M., Damer, N. A., & Hmeidi, I. (2018). Using deep learning for automatically determining correct application of basic quranic recitation rules. The International Arab Journal of Information Technology, 15(3A), 620–625.
2. Alsayadi, H., Abdelhamid, A., Hegazy, I., & Fayed, Z. (2021). Arabic speech recognition using end-to-end deep learning. IET Signal Processing. https://doi.org/10.1049/sil2.12057
3. Alsharhan, E., & Ramsay, A. (2019). Improved Arabic speech recognition system through the automatic generation of fine-grained phonetic transcriptions. Information Processing & Management, 56(2), 343–353.
4. Alsharhan, E., & Ramsay, A. (2020). Investigating the effects of gender, dialect, and training size on the performance of Arabic speech recognition. Language Resources and Evaluation, 54(4), 975–998.
5. Alsharhan, E., Ramsay, A., & Ahmed, H. (2020). Evaluating the effect of using different transcription schemes in building a speech recognition system for Arabic. International Journal of Speech Technology, 25, 43–56.
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