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README.md
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Dataset:
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This speech corpus is extracted from an online English-Tunisian Arabic dictionary Derja Ninja, providing a valuable resource for linguistic and speech-related research.
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The dataset contains over 3 hours of mono-speaker audio recordings from a male speaker, sampled at 44.1 kHz.
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- **Manual Diacritization**: All text has been processed and manually diacritized, ensuring phonetic accuracy for Tunisian Arabic.
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This corpus is well-suited for applications such as speech synthesis and automatic speech recognition.
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Dataset:
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This speech corpus is extracted from an online English-Tunisian Arabic dictionary Derja Ninja, providing a valuable resource for linguistic and speech-related research.
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The dataset contains over 3 hours of mono-speaker audio recordings from a male speaker, sampled at 44.1 kHz.
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- **Manual Diacritization**: All text has been processed and manually diacritized, ensuring phonetic accuracy for Tunisian Arabic.
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This corpus is well-suited for applications such as speech synthesis and automatic speech recognition.
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A research paper based on this dataset has been published. You can find the paper here: [https://aclanthology.org/2024.lrec-main.1467.pdf](#).
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