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 31–40 of 112 papers

TitleStatusHype
Deep Audio Waveform PriorCode1
Hierarchic Temporal Convolutional Network With Cross-Domain Encoder for Music Source Separation—0
Sampling Frequency Independent Dialogue Separation—0
SepIt: Approaching a Single Channel Speech Separation Bound—0
Separate What You Describe: Language-Queried Audio Source SeparationCode1
On loss functions and evaluation metrics for music source separation—0
Differentiable Digital Signal Processing Mixture Model for Synthesis Parameter Extraction from Mixture of Harmonic Sounds—0
Unsupervised Music Source Separation Using Differentiable Parametric Source ModelsCode1
Fish sounds: towards the evaluation of marine acoustic biodiversity through data-driven audio source separation—0
Self-Supervised Beat Tracking in Musical Signals with Polyphonic Contrastive Learning—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