Indian Multilingual ASR Dataset for Gujarati (Kathbath Gujarati Validation data)
Gujarati ASR (Automatic Speech Recognition) benchmark validation dataset from Bhashini for supporting the development of robust regional speech recognition systems.
About Dataset
The Kathbath dataset features 1684 hours of labeled speech data across 12 Indian languages, including Gujarati. This dataset is specifically designed to evaluate and develop Automatic Speech Recognition (ASR) systems for Indian languages in general-use scenarios. The "Valid" subset provides a validation set for fine-tuning and evaluating ASR models during the training process. Submitted by Tahir Javed, this dataset supports efforts to improve multilingual ASR systems in India.
Dataset Metadata
Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
NA
Sector Agnostic
Microsoft
Unstructured
NA
NA
N.A.
24/02/25 13:22:44
Open
Hosted
Activity Overview
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6 
157 
552.29 MB
Tags
- NLP Dataset
- Benchmark
- General Domain
- Automatic Speech Recognition
- Speech Technology
- ASR
- Regional Languages
- Multilingual Dataset
- Audio Processing
- Kathbath
- Validation Dataset
- Tahir Javed
- Gujarati
License Control
Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
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Version 1(552.29 MB)
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