Formants and Prosodic Features' Effects on Arabic Speaker Identification Accuracy in Noisy Environments
This study investigates the use of formants and prosodic features, specifically pitch and intensity, for speaker identification in real conditions. To enhance the robustness of the acoustic models against speech signal variations in noisy environments, Mel-Frequency Cepstral Coefficient (MFCC) a...
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| Hauptverfasser: | , |
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| Format: | Artigo |
| Sprache: | Árabe |
| Veröffentlicht: |
Scientific and Technological Research Center for the Development of the Arabic Language
2024-12-01
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| Schriftenreihe: | Al-Lisaniyyat |
| Schlagworte: | |
| Online-Zugang: | https://crstdla.dz/ojs/index.php/allj/article/view/734 |
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