IndicSUPERB: A Speech Processing Universal Performance Benchmark for Indian languages. (arXiv:2208.11761v1 [cs.CL])

A cornerstone in AI research has been the creation and adoption of
standardized training and test datasets to earmark the progress of
state-of-the-art models. A particularly successful example is the GLUE dataset
for training and evaluating Natural Language Understanding (NLU) models for
English. The large body of research around self-supervised BERT-based language
models revolved around performance improvements on NLU tasks in GLUE. To
evaluate language models in other languages, several language-specific GLUE
datasets were created. The area of speech language …

arxiv benchmark performance processing speech speech processing