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pro vyhledávání: '"Rouard, Simon"'
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 system with audio input. Our exploration involves two distinct strategies.
Externí odkaz:
http://arxiv.org/abs/2407.12563
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 quantizers are often employed to produce these tokens, therefore the
Externí odkaz:
http://arxiv.org/abs/2406.02315
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 fields, attention based Transformers have shown their ability to integrate
Externí odkaz:
http://arxiv.org/abs/2211.08553
Autor:
Rouard, Simon, Hadjeres, Gaëtan
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 with stochastic differential equations, which already demonstrated pro
Externí odkaz:
http://arxiv.org/abs/2106.07431