Punjabi ASR (Automatic Speech Recognition) benchmark dataset for supporting the development of robust regional speech recognition systems.
The Kathbath-Punjabi-Test-Known dataset is a benchmark dataset crafted to test the performance of Automatic Speech Recognition (ASR) systems in Punjabi. It contains 1684 hours of labeled speech data across 12 Indian languages, optimized for testing ASR models in general-domain applications. Submitted by Tahir Javed, this dataset provides a valuable resource for advancing ASR technologies for Punjabi and other regional Indian languages, enabling the development of robust multilingual ASR systems.
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