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Found 7 papers, 5 papers with code
Sound Demixing Challenge 2023 Music Demixing Track Technical Report: TFC-TDF-UNet v3
In this report, we present our award-winning solutions for the Music Demixing Track of Sound Demixing Challenge 2023.
Ranked #4 on
Music Source Separation
on MUSDB18
Learning source-aware representations of music in a discrete latent space
To address this issue, we propose a novel method to learn source-awarelatent representations of music through Vector-Quantized Variational Auto-Encoder(VQ-VAE). We train our VQ-VAE to encode an input mixture into a tensor of integers in a discrete latentspace, and design them to have a decomposed structure which allows humans to manipulatethe latent vector in a source-aware manner.
LightSAFT: Lightweight Latent Source Aware Frequency Transform for Source Separation
Conditioned source separations have attracted significant attention because of their flexibility, applicability and extensionality.
KUIELab-MDX-Net: A Two-Stream Neural Network for Music Demixing
This paper proposes a two-stream neural network for music demixing, called KUIELab-MDX-Net, which shows a good balance of performance and required resources.
Ranked #7 on
Music Source Separation
on MUSDB18
AMSS-Net: Audio Manipulation on User-Specified Sources with Textual Queries
This paper proposes a neural network that performs audio transformations to user-specified sources (e. g., vocals) of a given audio track according to a given description while preserving other sources not mentioned in the description.
LaSAFT: Latent Source Attentive Frequency Transformation for Conditioned Source Separation
Recent deep-learning approaches have shown that Frequency Transformation (FT) blocks can significantly improve spectrogram-based single-source separation models by capturing frequency patterns.
Ranked #20 on
Music Source Separation
on MUSDB18
Investigating U-Nets with various Intermediate Blocks for Spectrogram-based Singing Voice Separation
Singing Voice Separation (SVS) tries to separate singing voice from a given mixed musical signal.
