Zobrazeno 1 - 5
of 5
pro vyhledávání: '"García, Hugo Flores"'
We present Sketch2Sound, a generative audio model capable of creating high-quality sounds from a set of interpretable time-varying control signals: loudness, brightness, and pitch, as well as text prompts. Sketch2Sound can synthesize arbitrary sounds
Externí odkaz:
http://arxiv.org/abs/2412.08550
Every artist has a creative process that draws inspiration from previous artists and their works. Today, "inspiration" has been automated by generative music models. The black box nature of these models obscures the identity of the works that influen
Externí odkaz:
http://arxiv.org/abs/2401.14542
We introduce VampNet, a masked acoustic token modeling approach to music synthesis, compression, inpainting, and variation. We use a variable masking schedule during training which allows us to sample coherent music from the model by applying a varie
Externí odkaz:
http://arxiv.org/abs/2307.04686
We present a software framework that integrates neural networks into the popular open-source audio editing software, Audacity, with a minimal amount of developer effort. In this paper, we showcase some example use cases for both end-users and neural
Externí odkaz:
http://arxiv.org/abs/2110.13323
Deep learning work on musical instrument recognition has generally focused on instrument classes for which we have abundant data. In this work, we exploit hierarchical relationships between instruments in a few-shot learning setup to enable classific
Externí odkaz:
http://arxiv.org/abs/2107.07029