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Benjamin Bolte

2 papers on this site · 2021

Benjamin Bolte has 2 papers on this site, in 2021, most of them on Language models & pretraining, Speech & spoken language; often with Abdelrahman Mohamed, Kushal Lakhotia, Wei-Ning Hsu.

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2 works on this site · 612 citations in our library

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Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

Topics

Language models & pretraining1Speech & spoken language1

Papers

The most cited first (OpenAlex and our library).

  1. HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units (2021 · 3 441 citations)
    Unsupervised speech representation learning is harder than in text or vision for three reasons. Each utterance contains many sounds, there is no ready-made inventory of discrete units, and unit boundaries are unknown. HuBERT (Hidden-Unit BERT) handles this by first clustering acoustic frames offline, starting with…
  2. On Generative Spoken Language Modeling from Raw Audio (2021 · 165 citations)
    The paper introduces Generative Spoken Language Modeling (GSLM): learning both the sound system and the linguistic structure of a language directly from raw audio, without transcripts or labels.

Co-authors here

10 co-authors with a page, the most papers together first.

Cited by

Papers of our library cite their works 612 times (of the 140 884 papers whose bibliographies we read); 32 citing papers with a page here →.

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