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

Showing 4150 of 112 papers

TitleStatusHype
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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Benchmark Results

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