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Veuillez utiliser cette adresse pour citer ce document : http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/7592

Titre: Design and implementation of speed and torque controller for DC motor
Auteur(s): Rabiai, Zakaria
Dahimene, A. (Supervisor)
Mots-clés: Neural networks (Computer science
Neural network
Date de publication: 2018
Résumé: The purpose of this project is to implement an end-to-end automatic speech recognition system using recurrent neural networks, the Arabic language which ranks as the fifth most spoken language in the world has been chosen as the main language of the system. The Arabic language has been alienated from such type of projects due to its complexity, uniqueness and lack of free appropriate corpuses, but with new emerging algorithms in the domain of speech recognition such as the connectionist temporal classification, it is becoming more accessible to use unsegmented corpuses in the aim of building performant automatic speech recognition systems. The development of the project
Description: 35 p.
URI/URL: http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/7592
Collection(s) :Computer

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