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 1120 of 112 papers

TitleStatusHype
Deep Audio Waveform PriorCode1
Separate What You Describe: Language-Queried Audio Source SeparationCode1
Unsupervised Music Source Separation Using Differentiable Parametric Source ModelsCode1
Zero-shot Audio Source Separation through Query-based Learning from Weakly-labeled DataCode1
Hybrid Neural Networks for On-device Directional HearingCode1
Transfer Learning with Jukebox for Music Source SeparationCode1
Unsupervised Source Separation By Steering Pretrained Music ModelsCode1
The Cocktail Fork Problem: Three-Stem Audio Separation for Real-World SoundtracksCode1
Unsupervised Source Separation via Bayesian Inference in the Latent DomainCode1
Multi-Task Audio Source SeparationCode1
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Benchmark Results

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