187 citations · 224 across the 14 of their papers we have counts for
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cs.CL2022★ 1 cited
Analyzing Acoustic Word Embeddings from Pre-trained Self-supervised Speech Models
Ramon Sanabria, Hao Tang, Sharon Goldwater
Given the strong results of self-supervised models on various tasks, there have been surprisingly few studies exploring self-supervised representations for acoustic word embeddings…
cs.CL2022★ 6 cited
Measuring the Impact of Individual Domain Factors in Self-Supervised Pre-Training
Ramon Sanabria, Wei-Ning Hsu, Alexei Baevski +1
Human speech data comprises a rich set of domain factors such as accent, syntactic and semantic variety, or acoustic environment. Previous work explores the effect of domain mismat…