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Bengali (Kathbath) Multilingual Speech Recognition Dataset
Bengali speech 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 Bengali. This dataset is specifically designed to evaluate and develop Automatic Speech Recognition (ASR) systems for Indian languages in general-use scenarios. It provides high-quality and diverse audio samples, making it a valuable resource for advancing speech recognition technologies tailored to regional languages. Submitted by Tahir Javed, the 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 13:22:40
Open
Hosted
Activity Overview
0
25 
448 
551.82 MB
Tags
- Bengali
- NLP Dataset
- Benchmark
- General Domain
- Automatic Speech Recognition
- Speech Technology
- ASR
- Regional Languages
- Multilingual Dataset
- Audio Processing
- Kathbath
- Tahir Javed
License Control
Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
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Version 1(551.82 MB)
- admin·11 month(s) ago
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