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

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Showing 101–110 of 112 papers

TitleStatusHype
Retrieving Signals with Deep Complex Extractors—0
Sampling Frequency Independent Dialogue Separation—0
Score Distillation Sampling for Audio: Source Separation, Synthesis, and Beyond—0
Self-Supervised Beat Tracking in Musical Signals with Polyphonic Contrastive Learning—0
Semantic Grouping Network for Audio Source Separation—0
Semi-blind Source Separation via Sparse Representations and Online Dictionary Learning—0
Separate And Diffuse: Using a Pretrained Diffusion Model for Improving Source Separation—0
SepIt: Approaching a Single Channel Speech Separation Bound—0
Structure and Automatic Segmentation of Dhrupad Vocal Bandish Audio—0
Study of the Performance of CEEMDAN in Underdetermined Speech Separation—0
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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