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Arabic speech recognition by end-to-end, modular systems and human

  • Published:2022-01 Issue: Volume:71 Page:101272
  • ISSN:0885-2308
  • Container-title:Computer Speech & Language
  • language:en
  • Short-container-title:Computer Speech & Language

Author:

Hussein AmirORCID,Watanabe Shinji,Ali Ahmed

Publisher

Elsevier BV

Subject

Human-Computer Interaction,Theoretical Computer Science,Software

Reference44 articles.

1. End-to-end lexicon free arabic speech recognition using recurrent neural networks;Ahmed,2018

2. The MGB-2 challenge: Arabic multi-dialect broadcast media recognition;Ali,2016

3. Multi-reference WER for evaluating ASR for languages with no orthographic rules;Ali,2015

4. The MGB-5 challenge: Recognition and dialect identification of dialectal Arabic speech;Ali,2019

5. Speech recognition challenge in the wild: Arabic MGB-3;Ali,2017

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1. Building Automatic Speech Recognition Systems for Moroccan Dialect: A Phoneme-Based Approach;SN Computer Science;2024-07-25

2. ArabRecognizer: modern standard Arabic speech recognition inspired by DeepSpeech2 utilizing Franco-Arabic;International Journal of Speech Technology;2024-07-22

3. Modular Systems for Building Renovation;Sustainable Civil Building Management and Engineering Journal;2024-04-02

4. Modern Standard Arabic speech disorders corpus for digital speech processing applications;International Journal of Speech Technology;2024-03

5. Chinese dialect speech recognition: a comprehensive survey;Artificial Intelligence Review;2024-01-31
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