Papers with Textless spoken language processing

1 papers
textless-lib: a Library for Textless Spoken Language Processing (2022.naacl-demo)

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Challenge: Textless spoken language processing is an exciting area of research that promises to extend applicability of the standard NLP toolset onto spoken language and languages with few or no textual resources.
Approach: They introduce textless-lib, a PyTorch-based library that provides textless spoken language processing tools.
Outcome: The proposed library significantly simplifies research in the textless setting and will be a handful for speech researchers and the NLP community at large.

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