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Snow Mountain: Dataset of Audio Recordings of The Bible in Low Resource Languages (2206.01205v2)

Published 1 Jun 2022 in eess.AS, cs.LG, and cs.SD

Abstract: 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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Authors (4)
  1. Kavitha Raju (2 papers)
  2. Anjaly V (1 paper)
  3. Ryan Lish (1 paper)
  4. Joel Mathew (7 papers)
Citations (2)

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