6 citations · 11 across the 6 of their papers we have counts for
7 papers
MuScriptor: An Open Model for Multi-Instrument Music Transcription
Simon Rouard, Michael Krause, Axel Roebel +2
Existing methods for automatic music transcription are often limited to single-instrument recordings or fail on complex, real music mixes. Although previous work utilizes synthetic…
Continuous Audio Language Models
Simon Rouard, Manu Orsini, Axel Roebel +2
Audio Language Models (ALM) have emerged as the dominant paradigm for speech and music generation by representing audio as sequences of discrete tokens. Yet, unlike text tokens, wh…
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…
Audio Conditioning for Music Generation via Discrete Bottleneck Features
Simon Rouard, Yossi Adi, Jade Copet +2
While most music generation models use textual or parametric conditioning (e.g. tempo, harmony, musical genre), we propose to condition a language model based music generation syst…
An Independence-promoting Loss for Music Generation with Language Models
Jean-Marie Lemercier, Simon Rouard, Jade Copet +2
Music generation schemes using language modeling rely on a vocabulary of audio tokens, generally provided as codes in a discrete latent space learnt by an auto-encoder. Multi-stage…
Hybrid Transformers for Music Source Separation
Simon Rouard, Francisco Massa, Alexandre Défossez
A natural question arising in Music Source Separation (MSS) is whether long range contextual information is useful, or whether local acoustic features are sufficient. In other fiel…
CRASH: Raw Audio Score-based Generative Modeling for Controllable High-resolution Drum Sound Synthesis
Simon Rouard, Gaëtan Hadjeres
In this paper, we propose a novel score-base generative model for unconditional raw audio synthesis. Our proposal builds upon the latest developments on diffusion process modeling…