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20172026
most citedMultilingual Jointly Trained Acoustic and Written Word Embeddings

3 citations · 9 across the 6 of their papers we have counts for

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Showing 2023Show all

2 papers · 1 filter

cs.CL2023★ 1 cited

Neural approaches to spoken content embedding

Shane Settle

Comparing spoken segments is a central operation to speech processing. Traditional approaches in this area have favored frame-level dynamic programming algorithms, such as dynamic…

cs.CL2023

What Do Self-Supervised Speech Models Know About Words?

Ankita Pasad, Chung-Ming Chien, Shane Settle +1

Many self-supervised speech models (S3Ms) have been introduced over the last few years, improving performance and data efficiency on various speech tasks. However, these empirical…