43 citations · 190 across the 11 of their papers we have counts for
4 papers · 1 filter
AudioLM: a Language Modeling Approach to Audio Generation
Zalán Borsos, Raphaël Marinier, Damien Vincent +8
We introduce AudioLM, a framework for high-quality audio generation with long-term consistency. AudioLM maps the input audio to a sequence of discrete tokens and casts audio genera…
DIVE: End-to-end Speech Diarization via Iterative Speaker Embedding
Neil Zeghidour, Olivier Teboul, David Grangier
We introduce DIVE, an end-to-end speaker diarization algorithm. Our neural algorithm presents the diarization task as an iterative process: it repeatedly builds a representation fo…
Self-Supervised Learning of Audio Representations from Permutations with Differentiable Ranking
Andrew N Carr, Quentin Berthet, Mathieu Blondel +2
Self-supervised pre-training using so-called "pretext" tasks has recently shown impressive performance across a wide range of modalities. In this work, we advance self-supervised l…
LEAF: A Learnable Frontend for Audio Classification
Neil Zeghidour, Olivier Teboul, Félix de Chaumont Quitry +1
Mel-filterbanks are fixed, engineered audio features which emulate human perception and have been used through the history of audio understanding up to today. However, their undeni…