2024
DOI: 10.1162/tacl_a_00656
|View full text |Cite
|
Sign up to set email alerts
|

What Do Self-Supervised Speech Models Know About Words?

Ankita Pasad,
Chung-Ming Chien,
Shane Settle
et al.

Abstract: 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 successes alone do not give a complete picture of what is learned during pre-training. Recent work has begun analyzing how S3Ms encode certain properties, such as phonetic and speaker information, but we still lack a proper understanding of knowledge encoded at the word level and beyond. In this work, we use lightweight analysis meth… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
3
2

Relationship

0
5

Authors

Journals

citations
Cited by 6 publications
references
References 81 publications
0
0
0
Order By: Relevance