Quantifying Language Variation Acoustically with Few Resources

@article{Bartelds2022QuantifyingLV,
  title={Quantifying Language Variation Acoustically with Few Resources},
  author={Martijn Bartelds and Martijn Wieling},
  journal={ArXiv},
  year={2022},
  volume={abs/2205.02694}
}
Deep acoustic models represent linguistic information based on massive amounts of data. Unfortunately, for regional languages and dialects such resources are mostly not available. However, deep acoustic models might have learned linguistic information that transfers to low-resource languages. In this study, we evaluate whether this is the case through the task of distinguishing low-resource (Dutch) regional varieties. By extracting embeddings from the hidden layers of various wav2vec 2.0 models… 

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