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Telugu ASR Benchmark Dataset (Indictts 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 to evaluate and enhance Automatic Speech Recognition (ASR) systems across various domains, including literature, tourism, news, and general topics. The dataset features high-quality and diverse audio samples, allowing researchers and developers to build robust and versatile ASR models. Submitted by AI4Bharat, it plays a critical role in advancing speech recognition technologies tailored to regional languages, fostering improvements 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 13:22:17
Open
Hosted
Activity Overview
0
30 
561 
46.70 MB
Tags
- NLP Dataset
- Benchmark
- News Domain
- Telugu
- General Domain
- Automatic Speech Recognition
- Tourism Domain
- Speech Technology
- Literature Domain
- AI4Bharat
- ASR
- Regional Languages
- Audio Processing
License Control
Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
data.json ( 54.41 KB )
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Data Quality Score Beta
Version Control
Version 1(46.70 MB)
- admin·11 month(s) ago
data.json
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