Logo Lanfrica
fr
Accueil
Atlas
Analyses
Documentation
Sign in
Retour
Analysis of the Effect of Audio Data Augmentation Techniques on Phone Digit Recognition For Algerian Arabic Dialect
Créateur:
Kha
Moh
Mou
Éditeur:
Hôte:
Visit
Actions
Share
Report an issue
Visit
doi.org
Tasks
automatic speech recognition
speech processing
Languages
Arabic, Algerian Spoken
Licenses
https://doi.org/10.15223/policy-029
https://doi.org/10.15223/policy-037
Similaires
Impact of Normalization and Data Augmentation in NER for Algerian Arabic Dialect
Time-Based Data Augmentation for Algerian Dialect Recognition in Low-Resource Settings
Improving Low-Resource Dialect Identification through Audio Data Augmentation: A Case Study on Algerian Language
Integrating blind source separation and self-supervised learning for Algerian Arabic connected-digit recognition
Natural Arabic Language Resources for Emotion Recognition in Algerian Dialect
Benchmarking sentiment analysis of algerian arabic dialect on X (Twitter)
Impact of Normalization and Data Augmentation in NER for Algerian Arabic Dialect
Time-Based Data Augmentation for Algerian Dialect Recognition in Low-Resource Settings
Improving Low-Resource Dialect Identification through Audio Data Augmentation: A Case Study on Algerian Language
Integrating blind source separation and self-supervised learning for Algerian Arabic connected-digit recognition
This paper proposes an improvement in Arabic automatic speech recognition (ASR) by combining blind s
Natural Arabic Language Resources for Emotion Recognition in Algerian Dialect
Benchmarking sentiment analysis of algerian arabic dialect on X (Twitter)