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
Differentiable Dictionary Search: Integrating Linear Mixing with Deep Non-Linear Modelling for Audio Source Separation—0
Learning Audio-Visual Dynamics Using Scene Graphs for Audio Source SeparationCode0
Hierarchic Temporal Convolutional Network With Cross-Domain Encoder for Music Source Separation—0
Sampling Frequency Independent Dialogue Separation—0
SepIt: Approaching a Single Channel Speech Separation Bound—0
On loss functions and evaluation metrics for music source separation—0
Differentiable Digital Signal Processing Mixture Model for Synthesis Parameter Extraction from Mixture of Harmonic Sounds—0
Fish sounds: towards the evaluation of marine acoustic biodiversity through data-driven audio source separation—0
Self-Supervised Beat Tracking in Musical Signals with Polyphonic Contrastive Learning—0
Zero-shot Audio Source Separation through Query-based Learningfrom Weakly-labeled Data—0
Reduction of Subjective Listening Effort for TV Broadcast Signals with Recurrent Neural Networks—0
Visual Scene Graphs for Audio Source SeparationCode0
Densely Connected Multi-Dilated Convolutional Networks for Dense Prediction TasksCode0
Move2Hear: Active Audio-Visual Source Separation—0
Sampling-Frequency-Independent Audio Source Separation Using Convolution Layer Based on Impulse Invariant MethodCode0
MULTIMODAL ANALYSIS: Informed content estimation and audio source separation—0
Weakly-supervised Audio-visual Sound Source Detection and Separation—0
Music source separation conditioned on 3D point cloudsCode0
Densely connected multidilated convolutional networks for dense prediction tasksCode0
Problems using deep generative models for probabilistic audio source separation—0
A Study of Transfer Learning in Music Source Separation—0
Towards Listening to 10 People Simultaneously: An Efficient Permutation Invariant Training of Audio Source Separation Using Sinkhorn's Algorithm—0
Fast accuracy estimation of deep learning based multi-class musical source separation—0
Adversarial attacks on audio source separation—0
Structure and Automatic Segmentation of Dhrupad Vocal Bandish Audio—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