Quantifying Language Variation Acoustically with Few Resources. (arXiv:2205.02694v1 [cs.CL])

Web: http://arxiv.org/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 (including new
models which are pre-trained and/or fine-tuned on Dutch) and …

arxiv language resources