Linguists should learn to love speech-based deep learning models

Marianne de Heer Kloots, Paul Boersma, Willem Zuidema
12/16/2025
cs.CLcs.SDeess.AS

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Abstract

Futrell and Mahowald present a useful framework bridging technology-oriented deep learning systems and explanation-oriented linguistic theories. Unfortunately, the target article's focus on generative text-based LLMs fundamentally limits fruitful interactions with linguistics, as many interesting questions on human language fall outside what is captured by written text. We argue that audio-based deep learning models can and should play a crucial role.

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Cite this paper

@article{kloots2025linguists,
  title  = {Linguists should learn to love speech-based deep learning models},
  author = {Marianne de Heer Kloots and Paul Boersma and Willem Zuidema},
  year   = {2025},
  eprint = {2512.14506},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2512.14506v1}
}

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