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Kannada ASR Benchmark Dataset for Challenging Scenarios (Kathbath hard Kannada)
Kannada ASR (Automatic Speech Recognition) benchmark challenging speech dataset from Bhashini for supporting the development of robust regional speech recognition systems.
About Dataset
This is a Kannada ASR benchmark dataset specifically designed to evaluate and improve Automatic Speech Recognition (ASR) systems in challenging scenarios, particularly in the news and general domains. The "hard" variant of the dataset includes audio samples with complex linguistic patterns, background noise, or overlapping speech, making it an ideal resource for stress-testing ASR models. Submitted by Microsoft, this dataset supports advancements in speech recognition technologies for regional languages, fostering the development of robust and accurate ASR systems.
Dataset Metadata
Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
NA
Sector Agnostic
Microsoft
Unstructured
NA
NA
N.A.
24/02/25 13:22:30
Open
Hosted
Activity Overview
0
14 
213 
339.50 MB
Tags
- NLP Dataset
- Benchmark
- News Domain
- Kannada
- General Domain
- Automatic Speech Recognition
- Speech Technology
- AI4Bharat
- ASR
- Regional Languages
- Audio Processing
- Hard Dataset
License Control
Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
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Data Quality Score Beta
Version Control
Version 1(339.50 MB)
- admin·1 year(s) ago
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