Marathi ASR (Automatic Speech Recognition) benchmark test dataset from Bhashini for supporting the development of robust regional speech recognition systems.
The Kathbath-Marathi-Test-Known dataset is a specialized benchmark designed to evaluate the performance of Automatic Speech Recognition (ASR) systems in Marathi. With 1684 hours of labeled speech data spanning 12 Indian languages, this dataset focuses on testing ASR models in general domains. Submitted by Tahir Javed, it provides a valuable resource for advancing speech recognition technologies in Marathi and other Indian regional languages, contributing to the development of multilingual ASR systems.
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