Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

The convolutional neural networks for Amazigh speech recognition system

Type de record:

paper
Créateur:
MerYou
Éditeur:
Uni
Hôte:

Visit

doi.org

Tasks

automatic speech recognitionspeech processing

Languages

AmazighBerber

Similaires

Exploring data augmentation for Amazigh speech recognition with convolutional neural networksHANDWRITTEN AMHARIC CHARACTER RECOGNITION SYSTEM USING CONVOLUTIONAL NEURAL NETWORKSAmazigh Speech Recognition Embedded SystemExplainable deep convolutional neural networks for insect pest recognitionCharacterizing Types of Convolution in Deep Convolutional Recurrent Neural Networks for Robust Speech Emotion RecognitionEnhancing amazigh ASR through convolutional neural networks and MFCC

Exploring data augmentation for Amazigh speech recognition with convolutional neural networks

HANDWRITTEN AMHARIC CHARACTER RECOGNITION SYSTEM USING CONVOLUTIONAL NEURAL NETWORKS

Amazigh Speech Recognition Embedded System

Explainable deep convolutional neural networks for insect pest recognition

International audience Fungal infestation of crops is critical to food security as it

Characterizing Types of Convolution in Deep Convolutional Recurrent Neural Networks for Robust Speech Emotion Recognition

Deep convolutional neural networks are being actively investigated in a wide range of speech and aud

Enhancing amazigh ASR through convolutional neural networks and MFCC