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...

תיאור מלא

מידע ביבליוגרפי

Principais autores:	Zaki Taha, Islam Hegazy, Abdelaziz Abdelhamid, Hamzah Alsayadi
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Ain Shams University, Faculty of Computer and Information Science 2021-07-01
סדרה:	International Journal of Intelligent Computing and Information Sciences
נושאים:	Arabic Speech Recognition Data Augmentation CNN-LSTM RNN-LM Attention-based Model
גישה מקוונת:	https://ijicis.journals.ekb.eg/article_184831_93e2921531f782d2f099056fc80daf4a.pdf
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!