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Telugu ASR Benchmark Dataset for General-Use Speech Recognition(Fluers Telugu)
Telugu ASR (Automatic Speech Recognition) benchmark dataset from Bhashini for supporting the development of robust regional speech recognition systems.
About Dataset
This is a Telugu ASR benchmark dataset specifically designed for the evaluation and development of Automatic Speech Recognition (ASR) systems in general-use scenarios. The dataset contains diverse and high-quality audio samples that represent everyday language usage, making it an essential resource for creating robust and efficient ASR models. Submitted by AI4Bharat, it contributes significantly to advancing speech recognition technologies for regional languages, enabling widespread applications in natural language processing and audio processing for Telugu.
Dataset Metadata
Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
NA
Sector Agnostic
Microsoft
Unstructured
NA
NA
N.A.
24/02/25 13:22:19
Open
Hosted
Activity Overview
0
71 
159.42 MB 
949
Tags
- NLP Dataset
- Benchmark
- 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(159.42 MB)
- admin·1 year(s) ago
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