41 citations · 59 across the 5 of their papers we have counts for
6 papers
Benchmarking_Fast_Domain_Adaptation_for_Unsupervised_Speech_Units
Robin San Roman, Manel Khentout, Tu Anh Nguyen +3
Representation learning has attracted great atten- tion and managed to reach good performances as a pretraining method for downstream tasks or as a first step towards unsu- pervise…
MusicGen-Stem: Multi-stem music generation and edition through autoregressive modeling
Simon Rouard, Robin San Roman, Yossi Adi +1
While most music generation models generate a mixture of stems (in mono or stereo), we propose to train a multi-stem generative model with 3 stems (bass, drums and other) that lear…
Large Concept Models: Language Modeling in a Sentence Representation Space
LCM team, Loïc Barrault, Paul-Ambroise Duquenne +18
LLMs have revolutionized the field of artificial intelligence and have emerged as the de-facto tool for many tasks. The current established technology of LLMs is to process input a…
Latent Watermarking of Audio Generative Models
Robin San Roman, Pierre Fernandez, Antoine Deleforge +2
The advancements in audio generative models have opened up new challenges in their responsible disclosure and the detection of their misuse. In response, we introduce a method to w…
Proactive Detection of Voice Cloning with Localized Watermarking
Robin San Roman, Pierre Fernandez, Alexandre Défossez +3
In the rapidly evolving field of speech generative models, there is a pressing need to ensure audio authenticity against the risks of voice cloning. We present AudioSeal, the first…
Seamless: Multilingual Expressive and Streaming Speech Translation
Seamless Communication, Loïc Barrault, Yu-An Chung +62
Large-scale automatic speech translation systems today lack key features that help machine-mediated communication feel seamless when compared to human-to-human dialogue. In this wo…