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 51–75 of 112 papers

TitleStatusHype
Learning to Separate Object Sounds by Watching Unlabeled VideoCode0
Towards Reliable Objective Evaluation Metrics for Generative Singing Voice Separation ModelsCode0
Generalization Challenges for Neural Architectures in Audio Source SeparationCode0
Training Generative Adversarial Networks from Incomplete Observations using Factorised DiscriminatorsCode0
Weakly-supervised Audio-visual Sound Source Detection and Separation—0
WildMix Dataset and Spectro-Temporal Transformer Model for Monoaural Audio Source Separation—0
ZeroSep: Separate Anything in Audio with Zero Training—0
Adversarial attacks on audio source separation—0
Zero-shot Audio Source Separation through Query-based Learningfrom Weakly-labeled Data—0
A Generalised Directional Laplacian Distribution: Estimation, Mixture Models and Audio Source Separation—0
A Study of Transfer Learning in Music Source Separation—0
Audio Source Separation Using a Deep Autoencoder—0
Audio Source Separation via Multi-Scale Learning with Dilated Dense U-Nets—0
Audio Source Separation with Discriminative Scattering Networks—0
Automatic Identification of Samples in Hip-Hop Music via Multi-Loss Training and an Artificial Dataset—0
Blind Audio Source Separation with Minimum-Volume Beta-Divergence NMF—0
Convolutive Audio Source Separation using Robust ICA and an intelligent evolving permutation ambiguity solution—0
Cooperative Audio Source Separation and Enhancement Using Distributed Microphone Arrays and Wearable Devices—0
DGMO: Training-Free Audio Source Separation through Diffusion-Guided Mask Optimization—0
Differentiable Dictionary Search: Integrating Linear Mixing with Deep Non-Linear Modelling for Audio Source Separation—0
Differentiable Digital Signal Processing Mixture Model for Synthesis Parameter Extraction from Mixture of Harmonic Sounds—0
Fast accuracy estimation of deep learning based multi-class musical source separation—0
Finding Strength in Weakness: Learning to Separate Sounds with Weak Supervision—0
Fish sounds: towards the evaluation of marine acoustic biodiversity through data-driven audio source separation—0
GASS: Generalizing Audio Source Separation with Large-scale Data—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