Automatic Speech Recognition with BERT and CTC Transformers: A Review-Reference-Cited by-同舟云学术

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Automatic Speech Recognition with BERT and CTC Transformers: A Review

Published:2023-11-28 Issue: Volume: Page:1-8
ISSN:
Container-title:2023 2nd International Conference on Electronics, Energy and Measurement (IC2EM)
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Author:

Djeffal Noussaiba¹,Kheddar Hamza²,Addou Djamel¹,Mazari Ahmed Cherif³,Himeur Yassine⁴

Affiliation:

1. USTHB University,Speech and Signal Processing Lab.,Algiers,Algeria

2. University of MEDEA,LSEA Lab., Faculty of Technology,Medea,Algeria,26000

3. University of MEDEA,LSEA Lab, Faculty of Science,Medea,Algeria,26000

4. College of Engineering and Information Technology, University of Dubai,Dubai,UAE

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10419379/10419198/10419784.pdf?arnumber=10419784

Reference40 articles.

1. Pitch and Fourier magnitude based steganography for hiding 2.4 kbps MELP bitstream

2. High capacity speech steganography for the G723.1 coder based on quantised line spectral pairs interpolation and CNN auto-encoding

3. Deep transfer learning for automatic speech recognition: Towards better generalization

4. Transformer models for text-based emotion detection: a review of BERT-based approaches

5. Attention mechanism, transformers, bert, and gpt: Tutorial and survey;Benyamin;OSF preprint,2020

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