Drumgan: Synthesis of drum sounds with timbral feature conditioning using generative adversarial networks
Synthetic creation of drum sounds (eg, in drum machines) is commonly performed using
analog or digital synthesis, allowing a musician to sculpt the desired timbre modifying …
analog or digital synthesis, allowing a musician to sculpt the desired timbre modifying …
One billion audio sounds from GPU-enabled modular synthesis
We release synth1B1, a multi-modal audio corpus consisting of 1 billion 4-second
synthesized sounds, paired with the synthesis parameters used to generate them. The …
synthesized sounds, paired with the synthesis parameters used to generate them. The …
Neural synthesis of footsteps sound effects with generative adversarial networks
Footsteps are among the most ubiquitous sound effects in multimedia applications. There is
substantial research into understanding the acoustic features and developing synthesis …
substantial research into understanding the acoustic features and developing synthesis …
Differentiable digital signal processing mixture model for synthesis parameter extraction from mixture of harmonic sounds
A differentiable digital signal processing (DDSP) autoencoder is a musical sound
synthesizer that combines a deep neural network (DNN) and spectral modeling synthesis. It …
synthesizer that combines a deep neural network (DNN) and spectral modeling synthesis. It …
Jukedrummer: Conditional beat-aware audio-domain drum accompaniment generation via transformer VQ-VAE
This paper proposes a model that generates a drum track in the audio domain to play along
to a user-provided drum-free recording. Specifically, using paired data of drumless tracks …
to a user-provided drum-free recording. Specifically, using paired data of drumless tracks …
Bassnet: A variational gated autoencoder for conditional generation of bass guitar tracks with learned interactive control
Deep learning has given AI-based methods for music creation a boost by over the past
years. An important challenge in this field is to balance user control and autonomy in music …
years. An important challenge in this field is to balance user control and autonomy in music …
Adversarial synthesis of drum sounds
J Drysdale, M Tomczak… - Proceedings of the 23rd …, 2020 - open-access.bcu.ac.uk
Recent advancements in generative audio synthesis have allowed for the development of
creative tools for generation and manipulation of audio. In this paper, a strategy is proposed …
creative tools for generation and manipulation of audio. In this paper, a strategy is proposed …
A benchmarking initiative for audio-domain music generation using the freesound loop dataset
This paper proposes a new benchmark task for generat-ing musical passages in the audio
domain by using thedrum loops from the FreeSound Loop Dataset, which arepublicly re …
domain by using thedrum loops from the FreeSound Loop Dataset, which arepublicly re …
StyleWaveGAN: Style-based synthesis of drum sounds with extensive controls using generative adversarial networks
In this paper we introduce StyleWaveGAN, a style-based drum sound generator that is a
variation of StyleGAN, a state-of-the-art image generator. By conditioning StyleWaveGAN on …
variation of StyleGAN, a state-of-the-art image generator. By conditioning StyleWaveGAN on …
Differentiable modelling of percussive audio with transient and spectral synthesis
Differentiable digital signal processing (DDSP) techniques, including methods for audio
synthesis, have gained attention in recent years and lend themselves to interpretability in the …
synthesis, have gained attention in recent years and lend themselves to interpretability in the …