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textless-lib: a Library for Textless Spoken Language Processing

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arxiv 2202.07359 v1 pith:AZUT6QX5 submitted 2022-02-15 cs.CL cs.LGcs.SDeess.AS

Eugene Kharitonov , Jade Copet , Kushal Lakhotia , Tu Anh Nguyen , Paden Tomasello , Ann Lee , Ali Elkahky , Wei-Ning Hsu
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Abdelrahman Mohamed Emmanuel Dupoux Yossi Adi
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classification cs.CLcs.LGcs.SDeess.AS
keywords researchlanguagelibraryspeechspokentextlesstextless-libprocessing
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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/ .

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Whisper-GPT -- Continuous Discrete Hybrid Representation Language Models For Speech And Music

    cs.SD 2024-12 conditional novelty 6.0 of 10

    A hybrid causal transformer that combines mel-spectrogram frames with EnCodec acoustic tokens matches or beats a 10-times larger token-only GPT on next-token likelihood for speech and music.

  2. WavChat: A Survey of Spoken Dialogue Models

    eess.AS 2024-11 conditional novelty 4.0 of 10

    WavChat categorizes spoken dialogue models into cascaded and end-to-end paradigms and surveys speech representations, training strategies, streaming, duplex interaction, datasets, and evaluation benchmarks.

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