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of 23
pro vyhledávání: '"Nistal, Javier"'
Recent advancements in deep generative models present new opportunities for music production but also pose challenges, such as high computational demands and limited audio quality. Moreover, current systems frequently rely solely on text input and ty
Externí odkaz:
http://arxiv.org/abs/2406.08384
Autor:
Grachten, Maarten, Nistal, Javier
Generative systems of musical accompaniments are rapidly growing, yet there are no standardized metrics to evaluate how well generations align with the conditional audio prompt. We introduce a distribution-based measure called Accompaniment Prompt Ad
Externí odkaz:
http://arxiv.org/abs/2404.00775
Autor:
Lattner, Stefan, Nistal, Javier
Publikováno v:
MDPI Electronics 2021, 10, 1349
Lossy audio codecs compress (and decompress) digital audio streams by removing information that tends to be inaudible in human perception. Under high compression rates, such codecs may introduce a variety of impairments in the audio signal. Many work
Externí odkaz:
http://arxiv.org/abs/2207.01667
In contemporary popular music production, drum sound design is commonly performed by cumbersome browsing and processing of pre-recorded samples in sound libraries. One can also use specialized synthesis hardware, typically controlled through low-leve
Externí odkaz:
http://arxiv.org/abs/2206.14723
Publikováno v:
22nd International Society for Music Information Retrieval (ISMIR 2021)
Generative Adversarial Networks (GANs) have achieved excellent audio synthesis quality in the last years. However, making them operable with semantically meaningful controls remains an open challenge. An obvious approach is to control the GAN by cond
Externí odkaz:
http://arxiv.org/abs/2108.01216
Publikováno v:
IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2021
Influenced by the field of Computer Vision, Generative Adversarial Networks (GANs) are often adopted for the audio domain using fixed-size two-dimensional spectrogram representations as the "image data". However, in the (musical) audio domain, it is
Externí odkaz:
http://arxiv.org/abs/2105.01531
In this paper, we compare different audio signal representations, including the raw audio waveform and a variety of time-frequency representations, for the task of audio synthesis with Generative Adversarial Networks (GANs). We conduct the experiment
Externí odkaz:
http://arxiv.org/abs/2006.09266
Publikováno v:
Digibug: Repositorio Institucional de la Universidad de Granada
Universidad de Granada (UGR)
Universidad de Granada (UGR)
Proyecto de Investigación I+D+i, “Procesos de reinserción y acompañamiento a mujeres en semilibertad”, Ref.EDU2016-79322-R (2016-2020), del Plan Nacional de Investigación, Ministerio de Economía y Competitividad (MINECO), Agencia Estatal de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=RECOLECTA___::9011ff9d2c73c87a93182abbc9aeccdc
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