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 1–25 of 112 papers

TitleStatusHype
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
Training-Free Multi-Step Audio Source SeparationCode2
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
Leveraging LLM and Text-Queried Separation for Noise-Robust Sound Event DetectionCode1
Task-Aware Unified Source Separation—0
Exploring Text-Queried Sound Event Detection with Audio Source SeparationCode1
Unsupervised Composable Representations for AudioCode1
Facing the Music: Tackling Singing Voice Separation in Cinematic Audio Source SeparationCode1
Remastering Divide and Remaster: A Cinematic Audio Source Separation Dataset with Multilingual SupportCode1
Semantic Grouping Network for Audio Source Separation—0
A Stem-Agnostic Single-Decoder System for Music Source Separation Beyond Four StemsCode2
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
Spectral Mapping of Singing Voices: U-Net-Assisted Vocal SegmentationCode1
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
A Generalized Bandsplit Neural Network for Cinematic Audio Source SeparationCode1
Separate Anything You DescribeCode3
Language-Guided Audio-Visual Source Separation via Trimodal Consistency—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