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Erschienen in:
Wajeez: An Extractive Automatic Arabic Text Summarisation System Kapitel lesen Erstes Kapitel lesen

2019 | OriginalPaper | Buchkapitel

Arabic Speech Recognition with Deep Learning: A Review

verfasst von : Wajdan Algihab, Noura Alawwad, Anfal Aldawish, Sarah AlHumoud

Erschienen in: Social Computing and Social Media. Design, Human Behavior and Analytics

Verlag: Springer International Publishing

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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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Vorheriges Kapitel Wajeez: An Extractive Automatic Arabic Text Summarisation System
Nächstes Kapitel The State of the Awareness of Web Accessibility Guidelines of Student Website and App Developers
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Metadaten
Titel
Arabic Speech Recognition with Deep Learning: A Review
verfasst von
Wajdan Algihab
Noura Alawwad
Anfal Aldawish
Sarah AlHumoud
Copyright-Jahr
2019
Buch
Social Computing and Social Media. Design, Human Behavior and Analytics

Print ISBN: 978-3-030-21901-7

Electronic ISBN: 978-3-030-21902-4

Copyright-Jahr: 2019

DOI
https://doi.org/10.1007/978-3-030-21902-4_2