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Adam Polyak

Adam Polyak has 3 papers in our library, in 2021–2022, most of them on Speech & spoken language, Language models & pretraining; often with Wei-Ning Hsu, Yossi Adi, Abdelrahman Mohamed.

3 papers in our library · 2021–2022

OpenAlex · ORCID · h-index 21 · 49 works · 2,383 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 202 times in our library · ⭐ Paper Stars ranking: #3599

The profile is the library's match of the name; two people with one name are not always told apart.

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

 Affiliations

🏢MetaMenlo Park · United States2016–2025 · 18 papers🎓Tel Aviv UniversityTel Aviv · Israel2015–2025 · 7 papers🏢MetaTel Aviv · Israel2017–2021 · 5 papers🏢MetaLondon · United Kingdom2020–2022 · 4 papers🎓Bar-Ilan UniversityRamat Gan · Israel2021–2022 · 2 papers🎓Johns Hopkins UniversityBaltimore · United States2021–2022 · 2 papers🔬École des hautes études en sciences socialesParis · France2021–2022 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksSignal Processing · 3 works

🧭 Topics 2Research subjects and languages the work is about.Speech & spoken language · 3 worksLanguage models & pretraining · 2 works

 Works by year

2020s

20222 papersAdam Polyak's papers of 202220211 paperOn Generative Spoken Language Modeling from Raw Audio

 Papers

The most cited first (OpenAlex and our library).

  1. Direct Speech-to-Speech Translation With Discrete Units (2022 · 171 citations)
    The paper tackles direct speech-to-speech translation (S2ST), which converts speech in one language into speech in another without producing text along the way.
  2. On Generative Spoken Language Modeling from Raw Audio (2021 · 166 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.
  3. Text-Free Prosody-Aware Generative Spoken Language Modeling (2022 · 101 citations)
    Most speech pre-training work targets classification, and the one earlier generative approach, GSLM, models speech through discovered phone-like units that drop most prosodic information.

 Co-authors here

12 of 19 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 202 times (of the 141,840 papers whose bibliographies we read); 20 citing papers with a page here →.

Updated

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