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Hindi ASR Benchmark Dataset (Kathbath test known)
Hindi ASR (Automatic Speech Recognition) benchmark test dataset from Bhashini for supporting the development of robust regional speech recognition systems.
About Dataset
The Kathbath-Hindi-Test-Known dataset is a comprehensive Hindi ASR benchmark dataset crafted to evaluate and enhance Automatic Speech Recognition (ASR) systems across a wide range of real-world scenarios. With 1684 hours of labeled speech data spanning 12 Indian languages, this dataset emphasizes diversity and quality. It caters to general domains, providing critical resources for researchers and developers aiming to build state-of-the-art ASR models. Submitted by Tahir Javed, this dataset supports significant advancements in speech recognition technologies for Hindi and other Indian regional languages.
Dataset Metadata
Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
NA
Sector Agnostic
AI4Bharat
Unstructured
NA
NA
N.A.
24/02/25 13:22:46
Open
Hosted
Activity Overview
0
38 
566 
551.83 MB
Tags
- NLP Dataset
- Hindi
- Benchmark
- General Domain
- Automatic Speech Recognition
- Speech Technology
- ASR
- Regional Languages
- Indian Languages
- Multilingual Dataset
- Audio Processing
License Control
Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
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Data Quality Score Beta
Version Control
Version 1(551.83 MB)
- admin·11 month(s) ago
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