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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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# Dataset Description: |
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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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# Dataset Characteristics |
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| **Characteristic** | **Value** | |
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|-----------------------------|--------------------------------| |
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| Total Segments | 1493 | |
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| Total Words | 20925 | |
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| Total Characters | 113221 | |
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| Total Duration | 3 hours and 32 seconds | |
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| Mean Clip Duration | 7.24 seconds | |
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| Min Clip Duration | 3.11 seconds | |
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| Max Clip Duration | 16.3 seconds | |
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| Mean Words per Clip | 14.015 | |
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| Distinct Words | 4491 | |
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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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