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Fluers Hindi ASR Benchmark Dataset for Speech Recognition
Hindi ASR (Automatic Speech Recognition) benchmark dataset from Bhashini for supporting the development of robust regional speech recognition systems.
About Dataset
This is a Hindi ASR benchmark dataset developed to evaluate and improve Automatic Speech Recognition (ASR) systems for the Hindi language. The dataset includes diverse and high-quality audio samples, focusing on topics such as education, culture, and daily interactions. It serves as a critical resource for researchers and developers aiming to build robust ASR models. Submitted by Microsoft, this dataset supports advancements in speech recognition technologies for regional languages
Dataset Metadata
Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
NA
Sector Agnostic
Microsoft
Unstructured
NA
NA
N.A.
24/02/25 13:21:43
Open
Hosted
Activity Overview
0
15 
240 
147.67 MB
Tags
- NLP Dataset
- Hindi
- Benchmark
- General Domain
- Automatic Speech Recognition
- Speech Technology
- AI4Bharat
- ASR
- Regional Languages
- Audio Processing
License Control
Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
10011266027513218401.wav ( 285.08 KB )
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Data Quality Score Beta
Version Control
Version 1(147.67 MB)
- admin·1 year(s) ago
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