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 26–50 of 112 papers

TitleStatusHype
The Cone of Silence: Speech Separation by LocalizationCode1
AutoClip: Adaptive Gradient Clipping for Source Separation NetworksCode1
Sudo rm -rf: Efficient Networks for Universal Audio Source SeparationCode1
OtoWorld: Towards Learning to Separate by Learning to MoveCode1
Unsupervised Audio Source Separation using Generative PriorsCode1
Time-Domain Audio Source Separation Based on Wave-U-Net Combined with Discrete Wavelet TransformCode1
Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source SeparationCode1
Towards Reliable Objective Evaluation Metrics for Generative Singing Voice Separation ModelsCode0
DGMO: Training-Free Audio Source Separation through Diffusion-Guided Mask Optimization—0
ZeroSep: Separate Anything in Audio with Zero Training—0
Text-Queried Audio Source Separation via Hierarchical Modeling—0
Score Distillation Sampling for Audio: Source Separation, Synthesis, and Beyond—0
Automatic Identification of Samples in Hip-Hop Music via Multi-Loss Training and an Artificial Dataset—0
Study of the Performance of CEEMDAN in Underdetermined Speech Separation—0
Task-Aware Unified Source Separation—0
Semantic Grouping Network for Audio Source Separation—0
Performance Improvement of Language-Queried Audio Source Separation Based on Caption Augmentation From Large Language Models for DCASE Challenge 2024 Task 9—0
Low algorithmic delay implementation of convolutional beamformer for online joint source separation and dereverberation—0
Gull: A Generative Multifunctional Audio Codec—0
Mixture of Dynamical Variational Autoencoders for Multi-Source Trajectory Modeling and Separation—0
GASS: Generalizing Audio Source Separation with Large-scale Data—0
Language-Guided Audio-Visual Source Separation via Trimodal Consistency—0
Separate And Diffuse: Using a Pretrained Diffusion Model for Improving Source Separation—0
Tackling the Cocktail Fork Problem for Separation and Transcription of Real-World Soundtracks—0
Hyperbolic Audio Source 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