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Do speech foundation models really learn words?

Paper recorded by Signals 4 on 2026-09-09 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-09 on arXiv · recorded by Signals 4 on 2026-09-10

Category: cs.CL · 自然语言处理 · first seen 2026-09-10

Abstract

Self-supervised speech foundation models are now used in a wide array of downstream applications, including traditional speech recognition and as the basis for tokens in speech-aware language models. Attempts to understand their usefulness have largely focused on probing their representations' ability to discriminate phonemes and words. However, discriminative ability for words need not imply spec

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#79 most recent of 186 cs.CL papers we have recorded · ↑ newer: Building Multilingual Bridges: Data Mixing as the Pillar of Generaliza · ↓ older: Retrofitting Code Using LLMs to Support Exceptional Behavior
Cite this page: Do speech foundation models really learn words?: the #79 most recent of 186 cs.CL papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/do-speech-foundation-models-really-learn-words.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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