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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- tr
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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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- Turkish
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- machine
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- machine learning
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size_categories:
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- n<1K
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---
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# π§ Turkish Speech Dataset
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The **Turkish Speech Dataset** is a high-quality **speech audio dataset** designed to power modern AI and machine learning solutions with diverse and structured **audio data**. It includes **123 hours of voice recordings** distributed across **802 files**, provided in **MP3 and WAV formats**, with a total size of **105 MB**. This carefully curated **audio dataset** delivers balanced and representative **voice data**, with **46% female and 54% male speakers**, and an age range spanning from **18 to 50+ years**. The **dataset language** is Turkish, with recordings collected from Turkey and international Turkish-speaking communities, ensuring realistic linguistic variation and accent diversity.
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---
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π **Learn more:**
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https://speech-data.ai/datasets/turkish/
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---
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## π Use Cases
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This **turkish speech dataset** supports a wide range of AI applications, including **speech recognition**, voice assistant development, and natural language processing. The structured **speech data** enables accurate acoustic modeling, speaker identification, and multilingual system training. As a reliable **speech recognition dataset**, it is suitable for both research and production environments requiring high-quality **speech audio dataset** inputs. Its diverse geographic coverage enhances model robustness in handling accents and real-world speech patterns.
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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 | Turkish (tr) |
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| π·οΈ Tags | Audio, Speech, Speech Recognition, Turkish, 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 demographic diversity, efficient structure, and high-quality recordings. It provides reliable **audio data** that improves model accuracy and generalization across different speaking styles. This **speech dataset** forms a strong foundation for scalable and production-ready voice AI systems.
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