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Arabic speech recognition using neural networks: concepts, literature review and challenges
The ability to recognize and translate human speech has grown in importance. By
completing this task, obstacles are removed and smooth communication between people …
completing this task, obstacles are removed and smooth communication between people …
Active learning with aragpt2 for arabic named entity recognition
Abstract Arabic Named Entity Recognition (ANER) is a crucial task in natural language
processing that aims to identify and classify named entities in text into predefined categories …
processing that aims to identify and classify named entities in text into predefined categories …
Arabic speech recognition using deep learning and common voice dataset
Speech recognition is critical in creating a natural voice interface for human-to-human
communication with modern digital life equipment. Smart homes, vehicles, autonomous …
communication with modern digital life equipment. Smart homes, vehicles, autonomous …
Integration of Different Optimization Approaches for the Classification of Different Arabic and English Voice Commands
K Dabbabi, A Mars - 2023 IEEE International Conference on …, 2023 - ieeexplore.ieee.org
Several hyperparameters represent major sensitive factors for deep learning models. For
this, different hyperparameter optimization approaches are proposed to accelerate the …
this, different hyperparameter optimization approaches are proposed to accelerate the …
[PDF][PDF] Identification of different Arabic dialects using Randon Multimpdel Deep Learning (RMDL) approach on AOC Database
AMKDM Zrigui - researchgate.net
Like other languages, the Arabic dialect has both spoken and written forms. For the first form,
it is the real mother tongue of Arabic speakers explored on a daily basis. As for the second …
it is the real mother tongue of Arabic speakers explored on a daily basis. As for the second …