Odia ASR Benchmark Dataset - Kathbath-Odia-Test-Unknown
Odia ASR (Automatic Speech Recognition) benchmark test dataset from Bhashini for supporting the development of robust regional speech recognition systems.
About Dataset
The Kathbath-Odia-Test-Unknown dataset is a robust ASR benchmark dataset designed to test Automatic Speech Recognition (ASR) systems in Odia. Comprising 1684 hours of labeled speech data across 12 Indian languages, it is tailored for general-domain testing scenarios. Submitted by Tahir Javed, this dataset provides a valuable resource for advancing ASR technologies for Odia and other Indian regional languages, contributing to the development of multilingual ASR solutions.
Dataset Metadata
Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
NA
Sector Agnostic
AI4Bharat
Unstructured
NA
NA
N.A.
24/02/25 13:23:04
Open
Hosted
Activity Overview
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8 
57 
339.18 MB
Tags
- NLP Dataset
- Benchmark
- General Domain
- Automatic Speech Recognition
- Odia
- Speech Technology
- ASR
- Regional Languages
- Indian Languages
- Multilingual Dataset
- Audio Processing
License Control
Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
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Version Control
Version 1(339.18 MB)
- admin·11 month(s) ago
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