High fidelity neural audio compression
We introduce a state-of-the-art real-time, high-fidelity, audio codec leveraging neural
networks. It consists in a streaming encoder-decoder architecture with quantized latent …
networks. It consists in a streaming encoder-decoder architecture with quantized latent …
Efficient neural music generation
Recent progress in music generation has been remarkably advanced by the state-of-the-art
MusicLM, which comprises a hierarchy of three LMs, respectively, for semantic, coarse …
MusicLM, which comprises a hierarchy of three LMs, respectively, for semantic, coarse …
A review of differentiable digital signal processing for music and speech synthesis
The term “differentiable digital signal processing” describes a family of techniques in which
loss function gradients are backpropagated through digital signal processors, facilitating …
loss function gradients are backpropagated through digital signal processors, facilitating …
Multi-instrument music synthesis with spectrogram diffusion
An ideal music synthesizer should be both interactive and expressive, generating high-
fidelity audio in realtime for arbitrary combinations of instruments and notes. Recent neural …
fidelity audio in realtime for arbitrary combinations of instruments and notes. Recent neural …
[HTML][HTML] Automated data processing and feature engineering for deep learning and big data applications: a survey
A Mumuni, F Mumuni - Journal of Information and Intelligence, 2024 - Elsevier
Modern approach to artificial intelligence (AI) aims to design algorithms that learn directly
from data. This approach has achieved impressive results and has contributed significantly …
from data. This approach has achieved impressive results and has contributed significantly …
Vocos: Closing the gap between time-domain and Fourier-based neural vocoders for high-quality audio synthesis
H Siuzdak - arXiv preprint arXiv:2306.00814, 2023 - arxiv.org
Recent advancements in neural vocoding are predominantly driven by Generative
Adversarial Networks (GANs) operating in the time-domain. While effective, this approach …
Adversarial Networks (GANs) operating in the time-domain. While effective, this approach …
Music controlnet: Multiple time-varying controls for music generation
Text-to-music generation models are now capable of generating high-quality music audio in
broad styles. However, text control is primarily suitable for the manipulation of global musical …
broad styles. However, text control is primarily suitable for the manipulation of global musical …
DDX7: Differentiable FM synthesis of musical instrument sounds
FM Synthesis is a well-known algorithm used to generate complex timbre from a compact set
of design primitives. Typically featuring a MIDI interface, it is usually impractical to control it …
of design primitives. Typically featuring a MIDI interface, it is usually impractical to control it …
Long-term rhythmic video soundtracker
We consider the problem of generating musical soundtracks in sync with rhythmic visual
cues. Most existing works rely on pre-defined music representations, leading to the …
cues. Most existing works rely on pre-defined music representations, leading to the …
Musika! fast infinite waveform music generation
M Pasini, J Schlüter - arXiv preprint arXiv:2208.08706, 2022 - arxiv.org
Fast and user-controllable music generation could enable novel ways of composing or
performing music. However, state-of-the-art music generation systems require large …
performing music. However, state-of-the-art music generation systems require large …