Abstract
Textless spoken language processing research aims to extend the applicability of standard NLP toolset onto spoken language and languages with few or no textual resources. In this paper, we introduce textless-lib, a PyTorch-based library aimed to facilitate research in this research area. We describe the building blocks that the library provides and demonstrate its usability by discuss three different use-case examples: (i) speaker probing, (ii) speech resynthesis and compression, and (iii) speech continuation. We believe that textless-lib substantially simplifies research the textless setting and will be handful not only for speech researchers but also for the NLP community at large. The code, documentation, and pre-trained models are available at https://github.com/facebookresearch/textlesslib/.
Original language | English |
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Title of host publication | NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics |
Subtitle of host publication | Human Language Technologies, Proceedings of the Demonstrations Session |
Publisher | Association for Computational Linguistics (ACL) |
Pages | 1-9 |
Number of pages | 9 |
ISBN (Electronic) | 9781955917742 |
State | Published - 2022 |
Externally published | Yes |
Event | 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2022 - Seattle, United States Duration: 10 Jul 2022 → 15 Jul 2022 |
Publication series
Name | NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Demonstrations Session |
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Conference
Conference | 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2022 |
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Country/Territory | United States |
City | Seattle |
Period | 10/07/22 → 15/07/22 |
Bibliographical note
Publisher Copyright:© 2022 Association for Computational Linguistics.