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Arabic Speech Recognition with Deep Learning: A Review - 2019

Arabic Speech Recognition With Deep Learning: A Review

Research Area:  Machine Learning

Abstract:

Automatic speech recognition is the area of research concerning the enablement of machines to accept vocal input from humans and interpreting it with the highest probability of correctness. There are several techniques to implement speech recognition models. One of the emerging techniques is using neural networks with deep learning for speech recognition. Arabic is one of the most spoken languages and least highlighted in terms of speech recognition. This paper serves as a brief review on the available studies on Arabic speech recognition. In addition, it sheds some light on the services and toolkits available for Arabic speech recognition systems’ development.

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Author(s) Name:  Wajdan Algihab, Noura Alawwad, Anfal Aldawish & Sarah AlHumoud

Journal name:  

Conferrence name:  International Conference on Human-Computer Interaction

Publisher name:  Springer

DOI:  10.1007/978-3-030-21902-4_2

Volume Information: