CLEAR-Global/TWB-Voice-Hausa-TTS-1.0
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TWB Voice Hausa TTS Dataset 1.0 - Sample Set
Dataset Summary
TWB Voice Hausa TTS 1.0 Sample Set is a high-quality text-to-speech corpus containing read speech data in Hausa, recorded by a single female speaker under acoustically optimal conditions. This dataset represents 10% of the complete Hausa TTS dataset collected as part of the TWB Voice project by CLEAR Global (formerly Translators without Borders) to support text-to-speech synthesis development for this underrepresented language.
Note: This is a sample dataset containing only 10% of the complete collection. For access to the full dataset, please contact [email protected].
Language
- Hausa (
hau): Major language spoken in Nigeria, Niger, and neighboring regions. Also widely used as a lingua franca across West Africa
Supported Tasks
- Text-to-Speech Synthesis (TTS): Primary intended use case. Our baseline model can be accessed at:
Dataset Structure
Data Instances
Each data instance contains:
- 48 kHz audio recording
- Corresponding prompt
- Audio duration information
Data Fields
audio: Audio recording (48kHz sampling rate)sentence: Text content that was readduration: Audio duration in seconds
Data Splits
- train: All available sample data (10% of complete dataset)
Dataset Statistics
- Total recordings: Varies based on 10% sampling
- Speaker: Single female speaker
- Recording conditions: Acoustically optimal environment
- Language variety: Kenanci (Nigeria)
- Audio quality: High-quality recordings suitable for TTS training
Usage
Loading the Dataset
from datasets import load_dataset
# Load the dataset
hausa_tts = load_dataset("CLEAR-Global/TWB-voice-TTS-Hausa-1.0-sampleset")
# Access training data
train_data = hausa_tts["train"]
# Example usage
for sample in train_data:
audio = sample["audio"]
text = sample["sentence"]
duration = sample["duration"]
print(f"Text: {text}")
print(f"Duration: {duration:.2f}s")
Training a TTS Model
This dataset is optimized for training neural text-to-speech models. The consistent speaker characteristics and high audio quality make it suitable for modern TTS architectures.
Dataset Creation
Data Collection
The dataset was collected through TWB Voice platform coordinated by CLEAR Global. A single native female Hausa speaker was recorded reading prompted text under acoustically controlled conditions to ensure optimal audio quality for TTS model training.
Speaker Information
- Number of speakers: 1 (female)
- Language variety: Hausa
- Recording environment: Acoustically optimal conditions
- Sampling frequency: 48 kHz
- Number of channels: 1 (mono)
Quality Control
- All recordings underwent quality review for audio clarity and pronunciation accuracy
- Consistent recording conditions maintained throughout data collection
- Text normalization applied to ensure proper TTS training data format. Numbers and abbreviations were converted to their normalized form.
Important Disclaimers
Sample Dataset Notice: This dataset contains only 10% of the complete Hausa 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 Kenanci variety as spoken in Nigeria. Other Hausa 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.
Ethical Considerations
- The speaker provided informed consent for data collection and open publishing
- Speaker identity is anonymized - no attempts should be made to identify the individual
- Users must comply with the CC BY-NC 4.0 license terms
Citation
@dataset{twb_voice_hausa_tts_2024,
title = {TWB Voice Hausa TTS Dataset 1.0 - Sample Set},
author = {CLEAR Global},
year = {2024},
publisher = {Hugging Face},
url = {https://huggingface.co/datasets/CLEAR-Global/TWB-voice-TTS-Hausa-1.0-sampleset}
}
License
This dataset is released under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).
If your intended use of this dataset may be commercial in nature (such as building models into services that you monetize in any way), or you are unsure whether your use complies with the non-commercial restriction, especially for initiatives related to social good or public benefit, we encourage you to contact us to discuss potential licensing options or permissions. We are open to supporting impactful uses beyond the standard license terms.
Contact us at [email protected], including a link to the dataset in question and a brief description of your intended use.
Acknowledgments
This dataset was created by CLEAR Global with support from the Patrick J. McGovern Foundation. Special thanks to the Hausa speaker who contributed their voice to support language technology development.
Contact
For questions about this dataset, licensing inquiries, or access to the complete dataset, please contact CLEAR Global or open an issue in the dataset repository.
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