Hawrami Raw Audio Collection
Overview
This repository contains approximately 500 hours of Hawrami Kurdish raw speech collected from publicly available media sources.
The dataset was gathered primarily from the Rocyar program broadcast on Sterk TV, along with additional publicly available Hawrami-language content.
The recordings mainly consist of spontaneous and semi-spontaneous speech, including interviews, discussions, cultural programs, storytelling, and other naturally occurring spoken interactions. The dataset captures a variety of speakers, speaking styles, and recording conditions representative of real-world Hawrami speech.
The dataset is intended to support research on:
- Automatic Speech Recognition (ASR)
- Speech Translation (ST)
- Text-to-Speech (TTS)
- Self-supervised Learning (SSL)
Important Notice
This dataset was collected for research and educational purposes.
If you are the owner of any content included in this repository and would like it removed, please contact:
Dataset Statistics
| Statistic | Value |
|---|---|
| Language | Hawrami Kurdish |
| Duration | ~500 hours |
| Data Type | Raw audio |
| Main Source | Rocyar (Sterk TV) |
| Speech Style | Predominantly spontaneous and semi-spontaneous speech |
Citation
@inproceedings{mohammadamini25_interspeech,
title={Scaling pseudo-labeling data for end-to-end low-resource speech translation (the case of Kurdish language)},
author={Mohammad Mohammadamini and Aghilas Sini and Marie Tahon and Antoine Laurent},
booktitle={Interspeech 2025},
year={2025}
}
Disclaimer
The audio recordings remain subject to the rights of their original creators and publishers. This repository does not claim ownership of the underlying content and is provided solely for research and educational use.
Although the dataset was collected to represent Hawrami Kurdish speech, users should expect some variation in speakers, accents, and speaking styles across the collection.
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