Data Augmentation for Arabic Speech Recognition Based on End-to-End Deep Learning

End-to-end deep learning approach has greatly enhanced the performance of speech recognition systems. With deep learning techniques, the overfitting stills the main problem with a little data. Data augmentation is a suitable solution for the overfitting problem, which is adopted to improve the quant...

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Autors principals:	Zaki Taha, Islam Hegazy, Abdelaziz Abdelhamid, Hamzah Alsayadi
Format:	Artigo
Idioma:	Inglês
Publicat:	Ain Shams University, Faculty of Computer and Information Science 2021-07-01
Col·lecció:	International Journal of Intelligent Computing and Information Sciences
Matèries:	Arabic Speech Recognition Data Augmentation CNN-LSTM RNN-LM Attention-based Model
Accés en línia:	https://ijicis.journals.ekb.eg/article_184831_93e2921531f782d2f099056fc80daf4a.pdf
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