Indian Multilingual Odia ASR Validation Dataset for Odia - Kathbath-Odia-Valid
Odia ASR (Automatic Speech Recognition) benchmark validation dataset from Bhashini for supporting the development of robust regional speech recognition systems.
About Dataset
The Kathbath-Odia-Valid_1 dataset is a crucial validation dataset for testing the accuracy and robustness of Automatic Speech Recognition (ASR) systems in Odia. Spanning 1684 hours of labeled speech data across 12 Indian languages, this dataset is optimized for validating ASR models in general-domain applications. Submitted by Tahir Javed, it supports advancements in ASR technologies for Odia and other Indian regional languages, contributing to reliable multilingual ASR systems.
Dataset Metadata
Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
NA
Sector Agnostic
AI4Bharat
Unstructured
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NA
N.A.
24/02/25 13:23:06
Open
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Activity Overview
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551.27 MB
Tags
- NLP Dataset
- Benchmark
- General Domain
- Automatic Speech Recognition
- Odia
- Speech Technology
- ASR
- Regional Languages
- Indian Languages
- Multilingual Dataset
- Audio Processing
- Validation Dataset
License Control
Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
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Version 1(551.27 MB)
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