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 51–100 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
Cooperative Audio Source Separation and Enhancement Using Distributed Microphone Arrays and Wearable Devices—0
J-Net: Randomly weighted U-Net for audio source separationCode0
WildMix Dataset and Spectro-Temporal Transformer Model for Monoaural Audio Source Separation—0
Improving Universal Sound Separation Using Sound Classification—0
Finding Strength in Weakness: Learning to Separate Sounds with Weak Supervision—0
Model selection for deep audio source separation via clustering analysis—0
Retrieving Signals in the Frequency Domain with Deep Complex ExtractorsCode0
Retrieving Signals with Deep Complex Extractors—0
Sams-Net: A Sliced Attention-based Neural Network for Music Source SeparationCode0
Interleaved Multitask Learning for Audio Source Separation with Independent Databases—0
Blind Audio Source Separation with Minimum-Volume Beta-Divergence NMF—0
Conditioned-U-Net: Introducing a Control Mechanism in the U-Net for Multiple Source SeparationsCode0
A Provably Correct and Robust Algorithm for Convolutive Nonnegative Matrix FactorizationCode0
Generalized Separable Nonnegative Matrix Factorization—0
Training Generative Adversarial Networks from Incomplete Observations using Factorised DiscriminatorsCode0
Co-Separating Sounds of Visual ObjectsCode0
Audio Source Separation via Multi-Scale Learning with Dilated Dense U-Nets—0
Improved Speech Enhancement with the Wave-U-NetCode0
Referenceless Performance Evaluation of Audio Source Separation using Deep Neural Networks—0
Audio Source Separation Using Variational Autoencoders and Weak Class SupervisionCode0
Sparse Gaussian Process Audio Source Separation Using Spectrum Priors in the Time-DomainCode0
Improved Speech Enhancement with the Wave-U-Net—0
Generalized Multichannel Variational Autoencoder for Underdetermined Source Separation—0
Independent Deeply Learned Matrix Analysis for Multichannel Audio Source Separation—0
Audio-Visual Scene Analysis with Self-Supervised Multisensory FeaturesCode0
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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