aranemini/central-kurdish-audiobook-raw

Central Kurdish Audiobook Raw Audio Collection

Overview

This repository contains a large collection of raw Central Kurdish (Sorani Kurdish) audiobook recordings gathered from publicly available online sources.

The collection was assembled to support research and development in:

• Automatic Speech Recognition (ASR)
• Speech Translation (ST)
• Text-to-Speech (TTS)
• Self-supervised learning
• The dataset contains approximately 4,300 hours of speech collected from 1026 audiobooks covering a diverse range of topics.

Important Notice

This dataset was collected for research and educational purposes.

We respect the rights of authors, translators, narrators, publishers, and copyright holders.

If you are the author, narrator, translator, publisher, copyright owner, or a representative thereof, and you believe that any audiobook contained in this repository should not be distributed through this dataset, please contact:

emini.aran@gmail.com

Please include sufficient information to identify the relevant audiobook(s). We will review the request and remove the corresponding content when appropriate.

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Dataset Statistics

Statistic	Value
Language	Central Kurdish (Sorani)
Number of Audiobooks	1026
Total Speech Duration	~4,300 hours
Data Type	Raw audio

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Audiobook Topics

Topic	Number of Books
Novel	204
Philosophy, Psychology, Sociology	114
Short Stories	90
Auto/Biography	89
History	85
Religion	81
Politics	75
Miscellaneous	56
Language and Critical Theory	45
Feminism	25
Children	20

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Related Publications

If you use this dataset in academic work, please cite the following publications.

Interspeech 2025

@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},
  year      = {2025},
  booktitle = {Interspeech 2025},
  pages     = {898--902},
  doi       = {10.21437/Interspeech.2025-887},
  issn      = {2958-1796},
}

JEP 2026

@inproceedings{mohammadamini:hal-05569943,
  TITLE = {Apprentissage de modèles frugaux pour les langues peu dotées à partir de larges modèles d'ASR},
  AUTHOR = {Mohammadamini, Mohammad and Tahon, Marie and Sini, Aghilas and Laurent, Antoine},
  URL = {https://hal.science/hal-05569943},
  BOOKTITLE = {JEP},
  ADDRESS = {Montpellier, France},
  ORGANIZATION = {AFCP},
  YEAR = {2026},
  MONTH = Jun
}

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License and Disclaimer

The audio recordings remain subject to the rights of their original creators, narrators, translators, publishers, and copyright holders.

This repository does not claim ownership of the underlying audiobook content. The dataset is made available solely to support scientific research and educational activities.

Users are responsible for ensuring that their use of the dataset complies with applicable copyright laws and regulations.