Arabic Speech Recognition with Deep Learning: A Review

被引：15
作者：
Algihab, Wajdan [1 ]
Alawwad, Noura [1 ]
Aldawish, Anfal [1 ]
AlHumoud, Sarah [1 ]
机构：
[1] Al Imam Mohammad Ibn Saud Islamic Univ IMSIU, Coll Comp & Informat Sci, Riyadh, Saudi Arabia
来源：
SOCIAL COMPUTING AND SOCIAL MEDIA: DESIGN, HUMAN BEHAVIOR AND ANALYTICS, SCSM 2019, PT I | 2019年 / 11578卷
关键词：
Automatic speech recognition (ASR); Arabic Automatic Speech Recognition (AASR); Deep learning; Artificial neural networks (ANN); Deep neural network (DNN); Recurrent neural network (RNN);
D O I：
10.1007/978-3-030-21902-4_2
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
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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收藏
页码：15 / 31
页数：17
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