Kathbath-Kannada-Valid: Multilingual ASR Validation Dataset for Kannada
Kannada ASR (Automatic Speech Recognition) benchmark validation dataset from Bhashini for supporting the development of robust regional speech recognition systems.
About Dataset
The Kathbath-Kannada-Valid dataset is a validation dataset curated to evaluate and enhance the performance of Automatic Speech Recognition (ASR) systems for Kannada. Comprising 1684 hours of labeled speech data across 12 Indian languages, this dataset serves as a vital resource for testing ASR systems in general-domain applications. Submitted by Tahir Javed, it aids in advancing speech recognition technologies for Kannada and other regional Indian languages, contributing to the development of robust 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 13:22:53
Open
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Activity Overview
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551.46 MB
Tags
- NLP Dataset
- Benchmark
- Kannada
- 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(551.46 MB)
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