The Gujarati Speech Dataset is a high-quality multilingual speech audio dataset designed to support advanced AI systems that rely on diverse audio data and reliable voice data. It comprises 122 hours of recordings across 763 files, provided in MP3 and WAV formats, with a total size of 353 MB. This structured audio dataset ensures balanced representation with 55% female and 45% male speakers, covering an age range from 18 to 50+ years. The dataset language is Gujarati, with contributions from speakers in India (Gujarat), Pakistan, Kenya, Tanzania, Uganda, South Africa, USA, and the UK, making it a globally diverse language speech dataset suitable for real-world applications.

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

🚀 Use Cases

This Gujarati speech dataset is designed for building robust AI solutions such as speech recognition, voice assistant development, and natural language processing systems. The structured speech data supports acoustic modeling, speaker identification, and scalable machine learning pipelines. It also enables development of multilingual applications where high-quality speech audio dataset resources are required. As a reliable speech recognition dataset, it is suitable for research, model training, and deployment in production-grade voice technologies.

📊 Dataset Metadata

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

⭐ Key Value

The key value of this voice dataset lies in its linguistic diversity, demographic balance, and high-quality audio data optimized for real-world AI training. It enhances model accuracy across accents and regions, making it a strong foundation for scalable speech dataset development and multilingual speech intelligence systems.

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