Moore Speech Corpora: A Cleaned, Denoised Audio-Text Dataset for Mooré TTS and ASR
The Moore Speech Corpora is a collection of aligned audio and text in Mooré, gathered from publicly available sources. This unified corpus is curated for research and academic purposes in low-resource speech and language processing, especially for text-to-speech (TTS) and automatic speech recognition (ASR) in the Mooré language (ISO 639-3: mos
).
Mooré is under-represented in current speech corpora and technologies. Our mission is to make AI accessible to all communities. By open-sourcing this dataset and its associated tools, we aim to promote and preserve our national languages through practical speech-technology resources.
Currently this version of the dataset is a merged, denoised, and ready-to-use audio-text corpus built from:
We're still working to add other sources.
⚠️ Access is gated. To request access, please read the policy below.
🚩 TLDR: Anonymous or vague requests will not be approved.
All scripts used to prepare this dataset are part of the Moore Speech Corpora Toolkit. ⭐ if it’s helpful!
Dataset Structure
Each record contains:
audio
: Original 16 kHz WAV audio (raw)denoised_audio
: Denoised 16 kHz WAV audio (cleaned from background music)text
: Transcription in Mooréduration
: Duration in secondsvoice
: Voice label if knownspeaker_id
: Unique speaker identifier
Example format:
{
"text": "M ba Soaamb da mi n kėnd n tãooda ware...",
"duration": 4.85,
"voice": "female",
"speaker_id": "2",
"audio": { "path": "...", "array": [...], "sampling_rate": 16000 },
"denoised_audio": { "path": "...", "array": [...], "sampling_rate": 16000 }
}
Dataset Overview
- 📂 Split:
train
- 🔢 Total examples: 5535
- 🕒 Total duration: ~8.66 hours
Use Cases
This dataset is designed for:
- Training or evaluating ASR and TTS systems in Mooré
- Research on low-resource language modeling
- Pretraining for multilingual or African language models
- Preservation of oral cultural heritage in digital format
❌ Commercial use is strictly prohibited.
Access Policy (Important)
The dataset is under gated mode to ensure ethical use and protect cultural data integrity. To request access, please contact Wendyellé A. Alban NYANTUDRE ([email protected]).
Access will only be granted to individuals or institutions who:
- Clearly identify themselves
- Describe their intended academic or research use
- Agree to the non-commercial usage restriction
🔐 For safety and traceability reasons, anonymous or vague requests will not be approved.
Contributing or Collaborating
We welcome collaboration from anyone passionate about representing Mooré in language technologies! There are many ways to contribute:
- Suggest improvements or extensions to the dataset
- Share scripts, tools, or preprocessing tips in the GitHub repo (Moore Speech Corpora Toolkit ⭐)
- Improve documentation or metadata
- Help with validation, alignment, or text normalization
✅ Just make sure your contribution is meaningful, reproducible, and documented.
Together, let’s help Mooré shine in the world of AI! 💛
To contribute, feel free to open an issue or contact us directly.
License
The original audio/text content is sourced from mooreburkina.com and this processed dataset is licensed under CC BY-NC 4.0, allowing attribution-required, non-commercial use.
- Original audio/text: Copyright MooreBurkina.com – All rights reserved
- This processed dataset: Licensed under CC BY-NC 4.0 (Attribution required; strictly non-commercial use only)
For commercial or other usage scenarios not covered by this license, please contact us. By accessing this dataset, you agree to these terms.
Citation
@misc{nyantudre2025moorespeechcorpora,
title = {Moore Speech Corpora: A Cleaned, Denoised Audio-Text Dataset for Mooré TTS and ASR},
author = {Nyantudre, Wendyellé Abubakrh Alban and Bandaogo, Aristide},
year = {2025},
howpublished = {Hugging Face Datasets (gated access)}
}
Contacts
Curator: Wendyellé A. Alban NYANTUDRE
Aristide BANDAOGO
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