SOTAVerified

Music Source Separation

Music source separation is the task of decomposing music into its constitutive components, e. g., yielding separated stems for the vocals, bass, and drums.

( Image credit: SigSep )

Papers

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Showing 51–75 of 107 papers

TitleStatusHype
A Hands-on Comparison of DNNs for Dialog Separation Using Transfer Learning from Music Source Separation—0
An Ensemble Approach to Music Source Separation: A Comparative Analysis of Conventional and Hierarchical Stem Separation—0
A Study of Transfer Learning in Music Source Separation—0
Bootstrapping deep music separation from primitive auditory grouping principles—0
Class-conditional embeddings for music source separation—0
Contrastive Learning based Deep Latent Masking for Music Source Separation—0
Cutting Music Source Separation Some Slakh: A Dataset to Study the Impact of Training Data Quality and Quantity—0
Deep Clustering and Conventional Networks for Music Separation: Stronger Together—0
Demucs: Deep Extractor for Music Sources with extra unlabeled data remixed—0
Denoising Auto-encoder with Recurrent Skip Connections and Residual Regression for Music Source Separation—0
Densely connected multidilated convolutional networks for dense prediction tasks—0
Depthwise Separable Convolutions Versus Recurrent Neural Networks for Monaural Singing Voice Separation—0
Dilated Convolution with Dilated GRU for Music Source Separation—0
End-to-End Sound Source Separation Conditioned On Instrument Labels—0
Examining the Mapping Functions of Denoising Autoencoders in Singing Voice Separation—0
Fast accuracy estimation of deep learning based multi-class musical source separation—0
Feature-informed Latent Space Regularization for Music Source Separation—0
Hierarchic Temporal Convolutional Network With Cross-Domain Encoder for Music Source Separation—0
HTMD-Net: A Hybrid Masking-Denoising Approach to Time-Domain Monaural Singing Voice Separation—0
Hybrid Spectrogram and Waveform Source Separation—0
Hybrid Y-Net Architecture for Singing Voice Separation—0
Improving Real-Time Music Accompaniment Separation with MMDenseNet—0
Is MixIT Really Unsuitable for Correlated Sources? Exploring MixIT for Unsupervised Pre-training in Music Source Separation—0
Jointist: Simultaneous Improvement of Multi-instrument Transcription and Music Source Separation via Joint Training—0
MAJL: A Model-Agnostic Joint Learning Framework for Music Source Separation and Pitch Estimation—0
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All datasetsMUSDB18MUSDB18-HQSlakh2100

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Sparse HT Demucs (fine tuned)SDR (avg)9.2—Unverified
2Hybrid Transformer Demucs (f.t.)SDR (avg)9—Unverified
3Band-Split RNN (semi-sup.)SDR (avg)8.97—Unverified
4TFC-TDF-UNet (v3)SDR (avg)8.34—Unverified
5Band-Split RNNSDR (avg)8.23—Unverified
6Hybrid DemucsSDR (avg)7.72—Unverified
7KUIELab-MDX-NetSDR (avg)7.54—Unverified
8CDE-HTCNSDR (avg)6.89—Unverified
9Attentive-MultiResUNetSDR (avg)6.81—Unverified
10DEMUCS (extra)SDR (avg)6.79—Unverified
#ModelMetricClaimedVerifiedStatus
1BS-RoFormer (L=12, OA)SDR (avg)11.99—Unverified
2BS-RoFormer (L=6, OA)SDR (avg)9.8—Unverified
3SCNet-largeSDR (avg)9.69—Unverified
4Sparse HT Demucs (fine tuned)SDR (avg)9.2—Unverified
5Hybrid Transformer Demucs (f.t.)SDR (avg)9—Unverified
6SCNetSDR (avg)9—Unverified
7Band-Split RNN (semi-sup.)SDR (avg)8.97—Unverified
8TFC-TDF-UNet (v3)SDR (avg)8.34—Unverified
9Band-Split RNNSDR (avg)8.24—Unverified
10Dual-Path TFC-TDF UNet (DTTNet)SDR (avg)8.15—Unverified
#ModelMetricClaimedVerifiedStatus
1DiCoSe (Deterministic)SI-SDRi (Bass)20.04—Unverified
2LQ-VAE + Scalable TransformerSDR (bass)7.42—Unverified