Gujarati ASR Benchmark Dataset for Speech Recognition (Fluers Gujarati)
Gujarati ASR (Automatic Speech Recognition) benchmark dataset from Bhashini for supporting the development of robust regional speech recognition systems.
About Dataset
This is a Gujarati ASR benchmark dataset developed to evaluate and improve Automatic Speech Recognition (ASR) systems for the Gujarati language. The dataset includes diverse and high-quality audio samples, focusing on general topics such as daily conversations, cultural narratives, and regional knowledge. This provides researchers and developers with a critical resource for building robust ASR models. Submitted by AI4Bharat, it 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 13:21:54
Open
Hosted
Activity Overview
0
14 
320.73 MB 
467
Tags
- NLP Dataset
- Benchmark
- General Domain
- Automatic Speech Recognition
- Speech Technology
- AI4Bharat
- ASR
- Regional Languages
- Audio Processing
- Gujarati
License Control
Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
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Data Quality Score Beta
Version Control
Version 1(320.73 MB)
- admin·1 year(s) ago
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