Snow Mountain: Dataset of Audio Recordings of The Bible in Low Resource Languages

Raju, Kavitha, V, Anjaly, Lish, Ryan, Mathew, Joel

arXiv.org Artificial Intelligence 

Automatic Speech Recognition (ASR) has increasing utility in the modern world. There are a many ASR models available for languages with large amounts of training data like English. However, low-resource languages are poorly represented. In response we create and release an open-licensed and formatted dataset of audio recordings of the Bible in low-resource northern Indian languages. We setup multiple experimental splits and train and analyze two competitive ASR models to serve as the baseline for future research using this data.

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