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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tags:
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- audio
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- speech
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- speech recognition
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- machine
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- machine learning
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- Kazakh
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size_categories:
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- n<1K
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---
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# π§ Kazakh Speech Dataset
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The **Kazakh Speech Dataset** is a high-quality **speech audio dataset** developed to provide structured and scalable **audio data** for AI and machine learning applications. It includes **130 hours of audio data** distributed across **672 files**, delivered in **MP3 and WAV formats**, with a total size of **123 MB**. This well-balanced **audio dataset** ensures diverse and representative **voice data**, featuring **54% female and 46% male speakers**, with an age range spanning from **18 to 50+ years**. The **dataset language** is Kazakh, with recordings collected across Kazakhstan and neighboring regions, making it a reliable **language speech dataset** for modeling dialectal variation and real-world speech conditions.
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---
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π **Learn more:**
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https://speech-data.ai/datasets/kazakh/
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---
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## π Use Cases
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This **Kazakh speech dataset** supports a wide range of AI-driven use cases, including **speech recognition**, voice assistant development, and natural language processing. The structured **speech data** enables efficient acoustic modeling and speaker identification, making it a dependable **speech recognition dataset** for both research and production systems. It is particularly valuable for multilingual AI environments where high-quality **speech audio dataset** resources are required to train robust and adaptive models.
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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·οΈ Tags | Audio, Speech, 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 geographic diversity, structured format, and balanced speaker distribution. It provides high-quality **audio data** that improves model accuracy and generalization across diverse linguistic contexts. This **speech dataset** is a strong foundation for building scalable, high-performance voice-enabled AI systems.
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