Arabic speech recognition using end‐to‐end deep learning-Reference-Cited by-同舟云学术

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Arabic speech recognition using end‐to‐end deep learning

Published:2021-06-02 Issue:8 Volume:15 Page:521-534
ISSN:1751-9675
Container-title:IET Signal Processing
language:en
Short-container-title:IET signal process.

Author:

Alsayadi Hamzah A.¹²^ORCID,Abdelhamid Abdelaziz A.²³^ORCID,Hegazy Islam²,Fayed Zaki T.²

Affiliation:

1. Computer Science Department Faculty of Sciences Ibb University Ibb Yemen

2. Computer Science Department Faculty of Computer and Information Sciences Ain Shams University Cairo Egypt

3. College of Computing and Information Technology Shaqra University Shaqra Saudi Arabia

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/sil2.12057

Reference64 articles.

1. On the Role of Nonlinear Transformations in Deep Neural Network Acoustic Models

2. End-to-end Speech Recognition With Word-Based Rnn Language Models

3. Joint CTC-attention based end-to-end speech recognition using multi-task learning

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4. Convolutional Neural Networks to Facilitate the Continuous Recognition of Arabic Speech with Independent Speakers;Journal of Electrical and Computer Engineering;2024-04-29

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