license: cc-by-nc-4.0
task_categories:
- text-to-speech
pretty_name: TunArTTS
Dataset Description:
This speech corpus is extracted from an online English-Tunisian Arabic dictionary Derja Ninja, providing a valuable resource for linguistic and speech-related research. The dataset contains over 3 hours of mono-speaker audio recordings from a male speaker, sampled at 44.1 kHz.
Key characteristics of the corpus include:
Language: Tunisian Arabic.
Speaker: Single male speaker.
Sampling Rate: High-quality recordings at 44.1 kHz.
Manual Diacritization: All text has been processed and manually diacritized, ensuring phonetic accuracy for Tunisian Arabic.
This corpus is well-suited for applications such as speech synthesis and automatic speech recognition.
Dataset Characteristics
| Characteristic | Value |
|---|---|
| Total Segments | 1493 |
| Total Words | 20925 |
| Total Characters | 113221 |
| Total Duration | 3 hours and 32 seconds |
| Mean Clip Duration | 7.24 seconds |
| Min Clip Duration | 3.11 seconds |
| Max Clip Duration | 16.3 seconds |
| Mean Words per Clip | 14.015 |
| Distinct Words | 4491 |
A research paper based on this dataset has been published. You can find the paper here: https://aclanthology.org/2024.lrec-main.1467.pdf.