Marathi ASR (Automatic Speech Recognition) validation dataset from Bhashini for supporting the development of robust regional speech recognition systems.
The Kathbath-Marathi-Valid dataset serves as a critical validation resource for Automatic Speech Recognition (ASR) systems in Marathi. It includes 1684 hours of labeled speech data spanning 12 Indian languages, providing a robust platform for validating ASR models in general domains. Submitted by Tahir Javed, this dataset supports advancements in speech recognition technologies for Marathi and other Indian regional languages, contributing to the development of reliable multilingual ASR systems.
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