Communication
Speaker Identification and Verification System for Arabic and Berber Language
Ferhat Roumiassa✉, Fatma-Zohra Chelali
Résumé
The purpose of this work is to explore the advantage of Mel Frequency Cepstral Coefficients and Linear Predictive Coding combined with Principal Component Analysis, for speaker identification system applied for Arabic and Algerian Berber language. For this aim, the multilayer perception classifier is applied where different training functions are used for recognition process to improve the global ...
Détails
| Langue originale | English |
|---|---|
| Revue | 2020 1st International Conference on Communications, Control Systems and Signal Processing (CCSSP) |
| Numéro d’article | 9151633 |
| Pages | 242-247 |
| DOI | 10.1109/ccssp49278.2020.9151633 |
| Statut de publication | Publié — 2020 |