Hindi ASR Benchmark Dataset: Kathbath Hindi Test known
Hindi ASR (Automatic Speech Recognition) benchmark test dataset from Bhashini for supporting the development of robust regional speech recognition systems.
About Dataset
This is a Hindi ASR benchmark dataset specifically designed to evaluate and improve Automatic Speech Recognition (ASR) systems in diverse and noisy scenarios, particularly in the general domain. The dataset comprises 1684 hours of labeled speech data across 12 Indian languages, with a focus on Hindi. This provides researchers and developers with a valuable resource for building robust ASR models tailored to regional languages. Submitted by Tahir Javed, it supports advancements in speech recognition technologies for underrepresented 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 13:23:38
Open
Hosted
Activity Overview
0
40 
202 
551.83 MB
Tags
- NLP Dataset
- Hindi
- Benchmark
- General Domain
- Automatic Speech Recognition
- Speech Technology
- ASR
- Regional Languages
- Audio Processing
- Tahir Javed
License Control
Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
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Version Control
Version 1(551.83 MB)
- admin·11 month(s) ago
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