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Telugu ASR Benchmark Dataset for News and General Domains (Kathbath Telugu)
Telugu ASR (Automatic Speech Recognition) benchmark dataset from Bhashini for news and general domains, supporting the development of robust regional speech recognition systems.
About Dataset
This is a Telugu 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 dataset includes diverse and high-quality audio samples, focusing on topics such as current affairs, cultural narratives, and public discussions. 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 13:22:20
Open
Hosted
Activity Overview
0
11 
341.22 MB 
196
Tags
- NLP Dataset
- Benchmark
- News Domain
- Telugu
- 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)
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Data Quality Score Beta
Version Control
Version 1(341.22 MB)
- admin·1 year(s) ago
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