SOTAVerified

Audio Source Separation

Audio Source Separation is the process of separating a mixture (e.g. a pop band recording) into isolated sounds from individual sources (e.g. just the lead vocals).

Source: Model selection for deep audio source separation via clustering analysis

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 26–50 of 112 papers

TitleStatusHype
Directional Sparse Filtering using Weighted Lehmer Mean for Blind Separation of Unbalanced Speech MixturesCode1
Exploring Text-Queried Sound Event Detection with Audio Source SeparationCode1
Facing the Music: Tackling Singing Voice Separation in Cinematic Audio Source SeparationCode1
Compute and memory efficient universal sound source separationCode1
Unsupervised Audio Source Separation using Generative PriorsCode1
A Generalized Bandsplit Neural Network for Cinematic Audio Source SeparationCode1
Multi-Task Audio Source SeparationCode1
Learning to Separate Object Sounds by Watching Unlabeled VideoCode0
Learning Audio-Visual Dynamics Using Scene Graphs for Audio Source SeparationCode0
Training Generative Adversarial Networks from Incomplete Observations using Factorised DiscriminatorsCode0
J-Net: Randomly weighted U-Net for audio source separationCode0
Densely connected multidilated convolutional networks for dense prediction tasksCode0
Sams-Net: A Sliced Attention-based Neural Network for Music Source SeparationCode0
Densely Connected Multi-Dilated Convolutional Networks for Dense Prediction TasksCode0
Sparse Gaussian Process Audio Source Separation Using Spectrum Priors in the Time-DomainCode0
Improved Speech Enhancement with the Wave-U-NetCode0
A Provably Correct and Robust Algorithm for Convolutive Nonnegative Matrix FactorizationCode0
Co-Separating Sounds of Visual ObjectsCode0
Retrieving Signals in the Frequency Domain with Deep Complex ExtractorsCode0
Adversarial Semi-Supervised Audio Source Separation applied to Singing Voice ExtractionCode0
Audio-Visual Scene Analysis with Self-Supervised Multisensory FeaturesCode0
Sampling-Frequency-Independent Audio Source Separation Using Convolution Layer Based on Impulse Invariant MethodCode0
Conditioned-U-Net: Introducing a Control Mechanism in the U-Net for Multiple Source SeparationsCode0
Generalization Challenges for Neural Architectures in Audio Source SeparationCode0
Music source separation conditioned on 3D point cloudsCode0
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All datasetsAudioSetMUSIC (multi-source)

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ST-SED-SEPSDR10.55—Unverified
2Co-SeparationSDR4.26—Unverified
#ModelMetricClaimedVerifiedStatus
1Co-SeparationSAR11.3—Unverified