blind source separation

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Most implemented papers archive 2025-07-28

30 shown of 52 papers with code (211 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Sequence-to-point learning with neural networks for nonintrusive load monitoring
  29 Dec 2016 8 repositories listed Syntology ran 0 of 7 samples · 7 unverified
  Interestingly, we systematically show that the convolutional neural networks can inherently learn the signatures of the target appliances, which are automatically added into the model to reduce the identifiability…
• Sparse Pursuit and Dictionary Learning for Blind Source Separation in Polyphonic Music Recordings
  1 Jun 2018 3 repositories listed
  In general, due to its pitch-invariance, our method is especially suitable for dealing with spectra from acoustic instruments, requiring only a minimal number of hyperparameters to be preset.
• GPU-accelerated Guided Source Separation for Meeting Transcription
  10 Dec 2022 2 repositories listed
  In this paper, we describe our improved implementation of GSS that leverages the power of modern GPU-based pipelines, including batched processing of frequencies and segments, to provide 300x speed-up over CPU-based…
• Biologically-Plausible Determinant Maximization Neural Networks for Blind Separation of Correlated Sources
  27 Sep 2022 2 repositories listed
  Previous work on biologically-plausible BSS algorithms assumed that observed signals are linear mixtures of statistically independent or uncorrelated sources, limiting the domain of applicability of these algorithms.
• Directional Sparse Filtering using Weighted Lehmer Mean for Blind Separation of Unbalanced Speech Mixtures
  30 Jan 2021 2 repositories listed
  In blind source separation of speech signals, the inherent imbalance in the source spectrum poses a challenge for methods that rely on single-source dominance for the estimation of the mixing matrix.
• Towards Reliable Objective Evaluation Metrics for Generative Singing Voice Separation Models
  15 Jul 2025 1 repository listed
  Traditional Blind Source Separation Evaluation (BSS-Eval) metrics were originally designed to evaluate linear audio source separation models based on methods such as time-frequency masking.
• Self-Supervised Autoencoder Network for Robust Heart Rate Extraction from Noisy Photoplethysmogram: Applying Blind Source Separation to Biosignal Analysis
  12 Apr 2025 1 repository listed
  Biosignals can be viewed as mixtures measuring particular physiological events, and blind source separation (BSS) aims to extract underlying source signals from mixtures.
• A Lightweight Deep Exclusion Unfolding Network for Single Image Reflection Removal
  3 Mar 2025 1 repository listed
  Single Image Reflection Removal (SIRR) is a canonical blind source separation problem and refers to the issue of separating a reflection-contaminated image into a transmission and a reflection image.
• Revisiting convolutive blind source separation for identifying spiking motor neuron activity: From theory to practice
  6 Feb 2025 1 repository listed
  Yet, the existence and identifiability of inverse solutions and the corresponding estimation errors are not fully understood.
• Unsupervised Composable Representations for Audio
  19 Aug 2024 1 repository listed
  We demonstrate that our framework, used with diffusion models, naturally addresses the task of unsupervised audio source separation, showing that our model is able to perform high-quality separation.
• S³ -- Semantic Signal Separation
  13 Jun 2024 1 repository listed
  Topic models are useful tools for discovering latent semantic structures in large textual corpora.
• Enhancing Deep Learning Models through Tensorization: A Comprehensive Survey and Framework
  5 Sep 2023 1 repository listed
  The burgeoning growth of public domain data and the increasing complexity of deep learning model architectures have underscored the need for more efficient data representation and analysis techniques.
• Blind Source Separation of Single-Channel Mixtures via Multi-Encoder Autoencoders
  31 Aug 2023 1 repository listed
  In this paper, we propose a novel method for addressing BSS with single-channel non-linear mixtures by leveraging the natural feature subspace specialization ability of multi-encoder autoencoders.
• Identification of Power System Oscillation Modes using Blind Source Separation based on Copula Statistic
  7 Feb 2023 1 repository listed
  We access the performance of the proposed method on numerical simulation signals and recorded data from a simulation of time domain analysis on the classical 11-Bus 4-Machine test system.
• Transformer-based Hand Gesture Recognition via High-Density EMG Signals: From Instantaneous Recognition to Fusion of Motor Unit Spike Trains
  29 Nov 2022 1 repository listed
  Additionally, the CT-HGR framework can perform instantaneous recognition using sEMG image spatially composed from HD-sEMG signals.
• A Framework to Evaluate Independent Component Analysis applied to EEG signal: testing on the Picard algorithm
  16 Oct 2022 1 repository listed
  Independent component analysis (ICA), is a blind source separation method that is becoming increasingly used to separate brain and non-brain related activities in electroencephalographic (EEG) and other…
• Semi-Blind Source Separation with Learned Constraints
  27 Sep 2022 1 repository listed
  BSS problems being ill-posed, the resolution requires efficient regularization schemes to better distinguish between the sources and yield interpretable solutions.
• Direction-Aware Adaptive Online Neural Speech Enhancement with an Augmented Reality Headset in Real Noisy Conversational Environments
  15 Jul 2022 1 repository listed
  This paper describes the practical response- and performance-aware development of online speech enhancement for an augmented reality (AR) headset that helps a user understand conversations made in real noisy echoic…
• Semi-blind source separation using convolutive transfer function for nonlinear acoustic echo cancellation
  4 Jul 2022 1 repository listed
  The recently proposed semi-blind source separation (SBSS) method for nonlinear acoustic echo cancellation (NAEC) outperforms adaptive NAEC in attenuating the nonlinear acoustic echo.
• DURRNet: Deep Unfolded Single Image Reflection Removal Network
  12 Mar 2022 1 repository listed
  With the deep unrolling technique, we build the DURRNet with ProxNets to model natural image priors and ProxInvNets which are constructed with invertible networks to impose the exclusion prior.
• Modeling the Repetition-based Recovering of Acoustic and Visual Sources with Dendritic Neurons
  16 Jan 2022 1 repository listed
  Furthermore, we extend the study to investigate the properties of segregation on task settings not yet explored with human subjects, namely natural sounds and images.
• Unrolling PALM for sparse semi-blind source separation
  10 Dec 2021 1 repository listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  Sparse Blind Source Separation (BSS) has become a well established tool for a wide range of applications - for instance, in astrophysics and remote sensing.
• Trash or Treasure? An Interactive Dual-Stream Strategy for Single Image Reflection Separation
  20 Oct 2021 1 repository listed Syntology ran 4 of 8 samples · 4 unverified
  Single image reflection separation (SIRS), as a representative blind source separation task, aims to recover two layers, i.
• Drum-Aware Ensemble Architecture for Improved Joint Musical Beat and Downbeat Tracking
  16 Jun 2021 1 repository listed
  This paper presents a novel system architecture that integrates blind source separation with joint beat and downbeat tracking in musical audio signals.
• Independent mechanism analysis, a new concept?
  9 Jun 2021 1 repository listed Syntology ran 0 of 3 samples · 3 unverified · 3 pointer-only (licence)
  Specifically, our approach is motivated by thinking of each source as independently influencing the mixing process.
• Beam-Guided TasNet: An Iterative Speech Separation Framework with Multi-Channel Output
  5 Feb 2021 1 repository listed
  The proposed framework facilitates iterative signal refinement with the guide of beamforming and seeks to reach the upper bound of the MVDR-based methods.
• Nonlinear Independent Component Analysis for Discrete-Time and Continuous-Time Signals
  4 Feb 2021 1 repository listed
  We study the classical problem of recovering a multidimensional source signal from observations of nonlinear mixtures of this signal.
• Joint deconvolution and unsupervised source separation for data on the sphere
  23 Dec 2020 1 repository listed
  This becomes highly challenging when applied to large data sampled on the sphere such as those provided by wide-field observations in astrophysics, whose analysis requires the design of dedicated robust and yet…
• Fetal ECG Extraction from Maternal ECG using Attention-based CycleGAN
  22 Nov 2020 1 repository listed
  Decomposing the FECG signal from maternal ECG (MECG) is a blind source separation problem, which is hard due to the low amplitude of FECG, the overlap of R waves, and the potential exposure to noise from different…
• Semi-Blind Source Separation for Nonlinear Acoustic Echo Cancellation
  25 Oct 2020 1 repository listed
  Unlike the commonly utilized adaptive algorithm, the proposed SBSS is based on the independence between the near-end signal and the reference signals, and is less sensitive to the mismatch of nonlinearity between the…

Syntology lines on 4 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.