Datasets:
license: cc-by-nc-nd-4.0
task_categories:
- automatic-speech-recognition
language:
- tr
tags:
- audio
- speech
- speech recognition
- Turkish
- machine
- machine learning
size_categories:
- n<1K
🎧 Turkish Speech Dataset
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.
🔗 Learn more:
https://speech-data.ai/datasets/turkish/
🚀 Use Cases
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.
📊 Dataset Metadata
| Field | Value |
|---|---|
| 📜 License | CC BY-NC-ND 4.0 |
| 🎯 Task Categories | Automatic Speech Recognition |
| 🌍 Language | Turkish (tr) |
| 🏷️ Tags | Audio, Speech, Speech Recognition, Turkish, Machine, Machine Learning |
| 📦 Size Category | n < 1K |
⭐ Key Value
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.