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Borsos et al.: AudioLM semantic and acoustic token generation

Combined coarse self-supervised semantic tokens with fine neural-codec tokens in hierarchical language modeling, generating prompted speech and piano continuations without transcript-based supervision.

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Combined coarse self-supervised semantic tokens with fine neural-codec tokens in hierarchical language modeling, generating prompted speech and piano continuations without transcript-based supervision.

Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.

Scientific scope

No transcript requirement applies to the described audio-generation training, not to every inherited model's complete provenance. Plausible continuations need not be factually correct or authorized speaker reproductions; paper first appeared 2022, cited revision is 2023.

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People and systems

Zalán Borsos; Raphaël Marinier; Damien Vincent; Eugene Kharitonov; Olivier Pietquin; Matt Sharifi; Dominik Roblek; Olivier Teboul; David Grangier; Marco Tagliasacchi; Neil Zeghidour

Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.

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English catalogue narrative

Borsos et al.: AudioLM semantic and acoustic token generation

Combined coarse self-supervised semantic tokens with fine neural-codec tokens in hierarchical language modeling, generating prompted speech and piano continuations without transcript-based supervision.

Scientific scope

No transcript requirement applies to the described audio-generation training, not to every inherited model's complete provenance. Plausible continuations need not be factually correct or authorized speaker reproductions; paper first appeared 2022, cited revision is 2023.

Reading status

This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.

People and systems

Zalán Borsos; Raphaël Marinier; Damien Vincent; Eugene Kharitonov; Olivier Pietquin; Matt Sharifi; Dominik Roblek; Olivier Teboul; David Grangier; Marco Tagliasacchi; Neil Zeghidour

Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.

Original sources