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Fluers Urdu ASR Benchmark Dataset for Speech Recognition
Urdu ASR (Automatic Speech Recognition) benchmark dataset from Bhashini for supporting the development of robust regional speech recognition systems.
About Dataset
This is an Urdu ASR benchmark dataset developed to evaluate and improve Automatic Speech Recognition (ASR) systems for the Urdu language. The dataset includes diverse and high-quality audio samples, focusing on general topics such as literature, cultural narratives, and everyday conversations. 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 13:22:00
Open
Hosted
Activity Overview
0
4 
88 
89.60 MB
Tags
- NLP Dataset
- Benchmark
- Urdu
- 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)
10032188829272002643.wav ( 382.58 KB )
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Data Quality Score Beta
Version Control
Version 1(89.60 MB)
- admin·11 month(s) ago
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