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blind source separation

Blind source separation (BSS) is a signal processing technique that aims to separate multiple source signals from a set of mixed signals, without any prior knowledge about the sources or the mixing process. The goal is to recover the original source signals from the observed mixtures, typically using statistical and computational methods. BSS has applications in various fields such as audio signal processing, image processing, and telecommunications. It is used to extract useful information from mixed signals and to improve the quality of the source signals.

Papers

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Showing 1–50 of 211 papers

TitleStatusHype
S^3 -- Semantic Signal SeparationCode2
Direction-Aware Adaptive Online Neural Speech Enhancement with an Augmented Reality Headset in Real Noisy Conversational EnvironmentsCode2
Trash or Treasure? An Interactive Dual-Stream Strategy for Single Image Reflection SeparationCode1
Transformer-based Hand Gesture Recognition via High-Density EMG Signals: From Instantaneous Recognition to Fusion of Motor Unit Spike TrainsCode1
GPU-accelerated Guided Source Separation for Meeting TranscriptionCode1
Unrolling PALM for sparse semi-blind source separationCode1
Blind Source Separation of Single-Channel Mixtures via Multi-Encoder AutoencodersCode1
Directional Sparse Filtering using Weighted Lehmer Mean for Blind Separation of Unbalanced Speech MixturesCode1
Faster IVA: Update Rules for Independent Vector Analysis based on Negentropy and the Majorize-Minimize PrincipleCode1
Drum-Aware Ensemble Architecture for Improved Joint Musical Beat and Downbeat TrackingCode1
Fetal ECG Extraction from Maternal ECG using Attention-based CycleGANCode1
Unsupervised Composable Representations for AudioCode1
Independent mechanism analysis, a new concept?Code1
Beam-Guided TasNet: An Iterative Speech Separation Framework with Multi-Channel OutputCode1
Trace your sources in large-scale data: one ring to find them allCode0
Sparsity and adaptivity for the blind separation of partially correlated sourcesCode0
Time Series Source Separation using Dynamic Mode DecompositionCode0
Sparse and Non-Negative BSS for Noisy DataCode0
Semi-Blind Source Separation with Learned ConstraintsCode0
Sifting Common Information from Many VariablesCode0
Sparse Separable Nonnegative Matrix FactorizationCode0
Self-Supervised Autoencoder Network for Robust Heart Rate Extraction from Noisy Photoplethysmogram: Applying Blind Source Separation to Biosignal AnalysisCode0
A Lightweight Deep Exclusion Unfolding Network for Single Image Reflection RemovalCode0
Sequence-to-point learning with neural networks for nonintrusive load monitoringCode0
Biologically plausible single-layer networks for nonnegative independent component analysisCode0
Blind Bounded Source Separation Using Neural Networks with Local Learning RulesCode0
Scalable Convolutional Dictionary Learning with Constrained Recurrent Sparse Auto-encodersCode0
Enhancing Deep Learning Models through Tensorization: A Comprehensive Survey and FrameworkCode0
Target Speech Extraction Based on Blind Source Separation and X-vector-based Speaker Selection Trained with Data AugmentationCode0
Towards Reliable Objective Evaluation Metrics for Generative Singing Voice Separation ModelsCode0
Semi-Blind Source Separation for Nonlinear Acoustic Echo CancellationCode0
On the achievability of blind source separation for high-dimensional nonlinear source mixturesCode0
Sparse Pursuit and Dictionary Learning for Blind Source Separation in Polyphonic Music RecordingsCode0
Revisiting convolutive blind source separation for identifying spiking motor neuron activity: From theory to practiceCode0
Semi-blind source separation using convolutive transfer function for nonlinear acoustic echo cancellationCode0
Identification of Power System Oscillation Modes using Blind Source Separation based on Copula StatisticCode0
Hierarchical Probabilistic Model for Blind Source Separation via Legendre TransformationCode0
Blind Source Separation Using Mixtures of Alpha-Stable DistributionsCode0
Modeling the Repetition-based Recovering of Acoustic and Visual Sources with Dendritic NeuronsCode0
Multidataset Independent Subspace Analysis with Application to Multimodal FusionCode0
NMF with Sparse Regularizations in Transformed DomainsCode0
Nonlinear Independent Component Analysis for Discrete-Time and Continuous-Time SignalsCode0
Gaussian-binary Restricted Boltzmann Machines on Modeling Natural Image StatisticsCode0
CountNet: Estimating the Number of Concurrent Speakers Using Supervised Learning Speaker Count EstimationCode0
Joint deconvolution and unsupervised source separation for data on the sphereCode0
Deep Audio PriorCode0
DURRNet: Deep Unfolded Single Image Reflection Removal NetworkCode0
A Framework to Evaluate Independent Component Analysis applied to EEG signal: testing on the Picard algorithmCode0
Biologically-Plausible Determinant Maximization Neural Networks for Blind Separation of Correlated SourcesCode0
Latent Bayesian melding for integrating individual and population modelsCode0
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