Detection and Discrimination of Arabic Phonemes Using Long Short-Term Memory (LSTM) Model-Reference-Cited by-同舟云学术

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Detection and Discrimination of Arabic Phonemes Using Long Short-Term Memory (LSTM) Model

Published:2023-11-21 Issue: Volume:24 Page:147-153
ISSN:
Container-title:2023 Eleventh International Conference on Intelligent Computing and Information Systems (ICICIS)
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Author:

Tolba Rahma M.¹,Fayed Zaki T.¹,Alsayadi Hamzah A.²,Saad NourEldin O.³,Elarif Taha¹

Affiliation:

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

2. Ibb University,Faculty of Sciences,Computer Science Department,Yemen

3. Canadian International Collage,School of Computer Science,Data Science Department,New Cairo,Egypt

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10391089/10391083/10391156.pdf?arnumber=10391156

Reference32 articles.

1. What do phoneticians study?

2. Automatic Speech Recognition of Arabic Phonemes with Neural Networks

3. Phoneme Recognition as a Function of Task and Context;van Son

4. Speech spectrograms using the fast Fourier transform

5. Principles of Voice Production

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Interactive Augmented Reality System for Learning Phonetics Using Artificial Intelligence;IEEE Access;2024

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