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 11–20 of 112 papers

TitleStatusHype
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
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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