Analyzing the Impact of Synthetic Speech on Spoken Language Identification
This research explores how synthetic speech influences the performance of spoken language identification systems by examining various feature types (acoustic, temporal, and rhythmic) across multiple machine learning and deep learning architectures. The study utilized Multi-Layer Perceptron (ML...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | Arabic |
| Published: |
Scientific and Technological Research Center for the Development of the Arabic Language
2024-12-01
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| Series: | Al-Lisaniyyat |
| Subjects: | |
| Online Access: | https://crstdla.dz/ojs/index.php/allj/article/view/730 |
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