Speech-data/Korean-Speech-Dataset

🎧 Korean Speech Dataset

The Korean Speech Dataset is a large-scale speech audio dataset designed to provide high-quality and structured audio data for advanced AI and machine learning systems. It includes 192 hours of audio data across 628 files, delivered in MP3 and WAV formats, with a total size of 447 MB. This well-balanced audio dataset ensures diverse and representative voice data, with 52% female and 48% male speakers, and an age distribution ranging from 18 to 50+ years. The dataset language is Korean, with recordings collected from South Korea, North Korea, and global Korean-speaking communities, making it a robust language speech dataset for real-world applications.

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🔗 Learn more:
https://speech-data.ai/datasets/korean/

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🚀 Use Cases

This Korean speech dataset is designed for a wide range of AI applications, including speech recognition, voice assistant development, and natural language processing. The structured speech data supports acoustic modeling, speaker identification, and scalable training pipelines, making it a reliable speech recognition dataset for both research and deployment. It is also well-suited for multilingual systems that require consistent and high-quality speech audio dataset inputs across different accents and environments.

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📊 Dataset Metadata

Field	Value
📜 License	CC BY-NC-ND 4.0
🎯 Task Categories	Automatic Speech Recognition
🌍 Language	Korean (ko)
🏷️ Tags	Audio, Speech, Speech Recognition, Machine, Machine Learning, Korean
📦 Size Category	n < 1K

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⭐ Key Value

The key value of this voice dataset lies in its scale, geographic diversity, and production-ready structure. It delivers high-quality audio data that improves model robustness and generalization. This speech dataset provides a strong foundation for building scalable, accurate, and high-performance voice-enabled AI systems.

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