Veuillez utiliser cette adresse pour citer ce document : https://di.univ-blida.dz/jspui/handle/123456789/25343
Titre: Rehaussement de la parole basée sur l’apprentissage profond (Deep Learning)
Auteur(s): Elzayyat, Marwa
Bouguera, Feriel
Mots-clés: Speech enhancement ; Deep Learning ; RNN network.
Date de publication: 2023
Editeur: blida 1
Résumé: In this project, we proposed the use of a pre-trained model based on Deep Learning to reduce noise in an audio signal. For this, we used a particular environment, named "Colaboratory", often shortened to "Colab". This latter is suitable for Machine Learning and data analysis. The model used allowed us to obtain noise-free speech signals. In this study, we also explored the theoretical concepts starting with the major importance of Deep Learning, followed by the explanation of the basics of Artificial Intelligence, Machine Learning and Deep Learning, as well as their evolution over time decades.
Description: 4.621.1.1255 / p55
URI/URL: https://di.univ-blida.dz/jspui/handle/123456789/25343
Collection(s) :Mémoires de Master

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DNN_SE (4) diplome.pdf1,68 MBAdobe PDFVoir/Ouvrir


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