Arabic speech recognition based on a CNN-BLSTM combination-Reference-Cited by-同舟云学术

Arabic speech recognition based on a CNN-BLSTM combination

Published:2022-05-28 Issue: Volume: Page:
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Container-title:2022 IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)
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Author:

Amari Rafik¹,Mars Abdelkarim²,Zrigui Mounir¹

Affiliation:

1. University of Monastir,Faculty of Science of Monastir Research Laboratory in Algebra, Numbers Theory and Intelligent Systems RLANTIS,Monastir,Tunisia

2. Private National Engineering School of Monastir (ESPRIMS’),Monastir,Tunisia,5060

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9875397/9875429/09875681.pdf?arnumber=9875681

Reference44 articles.

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2. TimeML Annotation of Events and Temporal Expressions in Arabic Texts

3. Automatic speech correction: A step to speech recognition for people with disabilities

4. Deep Learning-Based Rumor Detection on Microblogging Platforms: A Systematic Review

5. Ensemble Methods for Instance-Based Arabic Language Authorship Attribution

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