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Release Date: 11/9/2026
Format: WAV, TSV
Size: 233.50 MB
TWB Voice Kanuri TTS 1.0 Sample Set is a high-quality text-to-speech corpus of read Central Kanuri speech (Nigeria), recorded by a single native female speaker under acoustically controlled conditions through the TWB Voice platform coordinated by CLEAR Global (formerly Translators without Borders). It contains 605 recordings totalling 56.3 minutes. It is a 10% sample of the complete Kanuri TTS corpus, which is available on request from CLEAR Global.
Licensing
Creative Commons Attribution Non Commercial 4.0 International (CC-BY-NC-4.0)
https://spdx.org/licenses/CC-BY-NC-4.0.htmlBy downloading the data, the user becomes an independent data controller and is responsible for complying with applicable data protection laws (including GDPR), responding to data subject rights requests, and reporting any data breaches to CLEAR Global. Users must implement appropriate technical and organizational security measures. Data must be retained only as long as necessary for the intended purpose. Users must comply with any data deletion requests from CLEAR Global (including deletion from backups and derived datasets). See the Dataset Access Terms for full details.
Attempting to determine the identity of the speaker in the dataset. Creating synthetic speech that could be used to impersonate the speaker, or for any malicious purposes. Re-hosting or re-sharing the dataset outside the terms of the license.
Ethical Review
The speaker consented to data collection and open publishing. The speaker's identity is anonymized. Dataset is gated for compliance with privacy and data protection laws (e.g. GDPR). By downloading, users accept data controller responsibilities under the Dataset Access Terms (https://huggingface.co/datasets/CLEAR-Global/TWB-Voice-dataset-access-terms), including handling data subject rights requests and data breach notifications.
Intended Use
Training and evaluation of text-to-speech (speech synthesis) systems for Central Kanuri, and research on low-resource speech technology.
The data was collected through the TWB Voice platform coordinated by CLEAR Global. A single native female Central Kanuri speaker (Nigeria) read prompted text under acoustically controlled conditions. All recordings underwent quality review for audio clarity and pronunciation accuracy, and the prompts were text-normalized (numbers and abbreviations written out).
This is a 10% sample of the complete Kanuri TTS corpus. For access to the 10 hour full dataset, contact [email protected].
clips/train/ — 605 WAV files, mono 16-bit PCM. Sample rate 48 kHz, except one (clips/train/67fe17bb81d24.wav) which is 44.1 kHz as delivered in the source. Resample if your pipeline needs a uniform rate.metadata.tsv — one row per clip with the columns path, split, sentence, duration.DATASET_ACCESS_TERMS.md — the full Dataset Access Terms.README.md, LICENSE| split | clips | minutes |
|---|---|---|
| train | 605 | 56.3 |
This dataset is subject to Dataset Access Terms in addition to the CC BY-NC 4.0 license. By downloading, users become independent data controllers responsible for complying with applicable data protection laws.
@dataset{twb_voice_kanuri_tts_2024,
title = {TWB Voice Kanuri TTS Dataset 1.0 - Sample Set},
author = {CLEAR Global},
year = {2024},
publisher = {Hugging Face},
url = {https://huggingface.co/datasets/CLEAR-Global/TWB-voice-TTS-Kanuri-1.0-sampleset}
}
Sample Dataset Notice: This dataset contains only 10% of the complete Kanuri TTS corpus. The sample is representative but limited in scope. For research requiring larger datasets or commercial applications, please contact CLEAR Global for access to the complete dataset.
Language Variety: The recordings represent Central Kanuri as spoken in Nigeria. Other Kanuri varieties or dialects may have different pronunciation patterns not captured in this dataset.
Ethical Use: This dataset should be used responsibly. Do not use this data to create synthetic speech that could be used to impersonate the original speaker or for any malicious purposes.
This dataset was created by CLEAR Global with support from the Patrick J. McGovern Foundation.
Please check README.md for more information.