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license: cc-by-nc-4.0
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---
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license: cc-by-nc-4.0
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task_categories:
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- text-to-speech
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pretty_name: TunArTTS
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---
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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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Key characteristics of the corpus include:
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- **Language**: Tunisian Arabic.
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- **Speaker**: Single male speaker.
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- **Sampling Rate**: High-quality recordings 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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