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.