output
20152026
most citedAutomatic Speech Recognition using Advanced Deep Learning Approaches: A survey

194 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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Showing eess.ASShow all

3 papers · 1 filter

eess.AS2025★ 3 cited

Transfer Learning-Based Deep Residual Learning for Speech Recognition in Clean and Noisy Environments

Noussaiba Djeffal, Djamel Addou, Hamza Kheddar +1

Addressing the detrimental impact of non-stationary environmental noise on automatic speech recognition (ASR) has been a persistent and significant research focus. Despite advancem…

eess.AS2025★ 2 cited

Enhancing Cochlear Implant Signal Coding with Scaled Dot-Product Attention

Billel Essaid, Hamza Kheddar, Noureddine Batel

Cochlear implants (CIs) play a vital role in restoring hearing for individuals with severe to profound sensorineural hearing loss by directly stimulating the auditory nerve with el…

eess.AS2024★ 30 cited

Artificial Intelligence for Cochlear Implants: Review of Strategies, Challenges, and Perspectives

Billel Essaid, Hamza Kheddar, Noureddine Batel +2

Automatic speech recognition (ASR) plays a pivotal role in our daily lives, offering utility not only for interacting with machines but also for facilitating communication for indi…