Kannada ASR (Automatic Speech Recognition) benchmark test dataset from Bhashini for supporting the development of robust regional speech recognition systems.
The Kathbath-Kannada-Test-Known dataset is a critical ASR benchmark dataset created to test and refine Automatic Speech Recognition (ASR) systems in Kannada. Spanning 1684 hours of labeled speech data across 12 Indian languages, it is designed to provide a robust evaluation resource for general-domain ASR applications. Submitted by Tahir Javed, this dataset supports the development and advancement of speech recognition technologies for Kannada and other regional Indian languages, contributing to multilingual and regional language ASR systems.
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