Datasets:
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README.md
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license: cc-by-nc-nd-4.0
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---
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license: cc-by-nc-nd-4.0
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task_categories:
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- automatic-speech-recognition
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language:
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- ha
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tags:
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- audio
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- Hausa
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- speech
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- machine
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- machine learning
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- speech recognition
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size_categories:
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- n<1K
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---
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# π§ Hausa Speech Dataset
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The **Hausa Speech Dataset** is a structured and high-quality **speech audio dataset** developed to support modern AI systems requiring diverse **audio data** and reliable **voice data**. It includes **174 hours of recordings** distributed across **733 files**, available in **MP3 and WAV formats**, with a total size of **362 MB**. This carefully curated **audio dataset** ensures balanced speaker representation, with **52% female and 48% male speakers**, and a broad age distribution from **18 to 50+ years**. The **dataset language** is Hausa, covering multiple West African regions including Nigeria, Niger, Ghana, Cameroon, Chad, Benin, and Togo, making it a highly representative **language speech dataset** for multilingual AI development.
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---
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π **Learn more:**
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https://speech-data.ai/datasets/hausa/
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---
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## π Use Cases
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This **Hausa speech dataset** is designed for building advanced AI applications such as **speech recognition**, voice assistant systems, and natural language processing tools. The structured **speech data** supports acoustic modeling, speaker identification, and robust machine learning pipelines. It is particularly valuable for developing multilingual solutions where high-quality **speech audio dataset** resources are required. As a reliable **speech recognition dataset**, it can be used in both academic research and production environments for scalable voice technology development.
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---
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## π Dataset Metadata
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| Field | Value |
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|------------------|-----------------------------------------------------------------------|
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| π License | CC BY-NC-ND 4.0 |
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| π― Task Categories | Automatic Speech Recognition |
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| π Language | Hausa (ha) |
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| π·οΈ Tags | Audio, Speech, Hausa, Speech Recognition, Machine, Machine Learning |
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| π¦ Size Category | n < 1K |
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---
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## β Key Value
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The key value of this **voice dataset** lies in its regional diversity, balanced demographic structure, and high-quality **audio data** optimized for real-world AI training. It enhances system robustness across accents and dialects, making it a strong foundation for scalable **speech dataset** development and multilingual speech intelligence applications.
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