Speech-data/Kannada-Speech-Dataset

🎧 Kannada Speech Dataset

The Kannada Speech Dataset is a high-quality speech audio dataset designed to deliver structured and reliable audio data for AI and machine learning workflows. It includes 90 hours of audio data across 651 files, available in MP3 and WAV formats, with a total size of 220 MB. This well-organized audio dataset provides balanced and representative voice data, with 48% female and 52% male speakers, and an age range spanning from 18 to 50+ years. The dataset language is Kannada, with recordings collected in Karnataka, making it a dependable language speech dataset for modeling regional speech characteristics and real-world linguistic variation.

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

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🚀 Use Cases

This Kannada speech dataset supports a wide spectrum of AI applications, including speech recognition, voice assistant development, and natural language processing. The structured speech data enables efficient acoustic modeling, speaker identification, and scalable AI training pipelines. As a robust speech recognition dataset, it is suitable for both research and production environments that require consistent and high-quality speech audio dataset inputs. It also contributes to expanding AI capabilities for underrepresented languages by providing reliable voice data for multilingual systems.

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📊 Dataset Metadata

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

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⭐ Key Value

The key value of this voice dataset lies in its structured composition, demographic diversity, and production-ready format. It delivers high-quality audio data that enhances model performance and generalization. This speech dataset is a strong foundation for building scalable, accurate, and inclusive voice-enabled AI systems.

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