Gujarati ASR Dataset (Kathbath Test Unknown)
Gujarati ASR (Automatic Speech Recognition) benchmark test 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 "Test-Unknown" subset focuses on providing challenging test cases to evaluate ASR model robustness in less predictable contexts. 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 13:22:43
Open
Hosted
Activity Overview
0
13 
173 
339.03 MB
Tags
- NLP Dataset
- Benchmark
- General Domain
- Automatic Speech Recognition
- Speech Technology
- ASR
- Regional Languages
- Multilingual Dataset
- Audio Processing
- Kathbath
- Tahir Javed
- Test Dataset
- Gujarati
License Control
Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
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Version Control
Version 1(339.03 MB)
- admin·11 month(s) ago
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