Indian Multilingual Tamil ASR Validation Dataset: Kathbath-Tamil-Valid
Tamil ASR (Automatic Speech Recognition) benchmark validation dataset from Bhashini for supporting the development of robust regional speech recognition systems.
About Dataset
The Kathbath-Tamil-Valid dataset is a validation dataset designed to test and improve the performance of Automatic Speech Recognition (ASR) systems in Tamil. Featuring 1684 hours of labeled speech data across 12 Indian languages, this dataset is optimized for validating ASR models in general domains. Submitted by Tahir Javed, it serves as a critical resource for advancing ASR technologies for Tamil and other regional Indian languages, contributing to the development of accurate and robust multilingual ASR systems.
Dataset Metadata
Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
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Sector Agnostic
AI4Bharat
Unstructured
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NA
N.A.
24/02/25 13:23:22
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Activity Overview
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552.88 MB
Tags
- NLP Dataset
- Benchmark
- Tamil
- General Domain
- Automatic Speech Recognition
- 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(552.88 MB)
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