High resolution sub-band decomposition underdetermined blind signal separation using virtual sensor based ICA method for low latency applications

No abstract is available for this paper.

• Publication year

  2021

• Venue

  Digit. Signal Process.

• Publication date

  Unknown publication date

• Fields of study

  Computer Science, Engineering

• Identifiers
  DOI 10.1016/j.dsp.2021.103015
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Mentoring-Reverse Mentoring for Unsupervised Multi-Channel Speech Source Separation

  2020cited by this paper
• Piecewise Linear Regression Based on Plane Clustering

  2019cited by this paper
• Underdetermined convolutive blind separation of sources integrating tensor factorization and expectation maximization

  2019cited by this paper
• Blind fMRI source unmixing via higher-order tensor decompositions.

  2019cited by this paper
• Blind Source Separation of Moving Sources Using Sparsity-Based Source Detection and Tracking

  2018cited by this paper
• Separation of multiple speech sources by recovering sparse and non-sparse components from B-format microphone recordings

  2018cited by this paper
• Blind source separation with mixture models - A hybrid approach to MR brain classification.

  2018cited by this paper
• Lightweight and Optimized Sound Source Localization and Tracking Methods for Open and Closed Microphone Array Configurations

  2018cited by this paper
• Unsupervised Deep Clustering for Source Separation: Direct Learning from Mixtures Using Spatial Information

  2018cited by this paper
• A new mixing matrix estimation method based on the geometrical analysis of the sound separation problem

  2017cited by this paper
• Supervised Speech Separation Based on Deep Learning: An Overview

  2017cited by this paper
• Underdetermined Convolutive Source Separation Using GEM-MU With Variational Approximated Optimum Model Order NMF2D

  2017cited by this paper
• Local Gaussian model with source-set constraints in audio source separation

  2017cited by this paper
• A Consolidated Perspective on Multimicrophone Speech Enhancement and Source Separation

  2017cited by this paper
• Separation of Moving Sound Sources Using Multichannel NMF and Acoustic Tracking

  2017cited by this paper
• Under-determined reverberant audio source separation using Bayesian Non-negative Matrix Factorization

  2016cited by this paper
• Novel mixing matrix estimation approach in underdetermined blind source separation

  2016cited by this paper
• Multichannel Audio Source Separation With Deep Neural Networks

  2016cited by this paper
• Underdetermined Convolutive BSS: Bayes Risk Minimization Based on a Mixture of Super-Gaussian Posterior Approximation

  2015cited by this paper
• Blind audio source counting and separation of anechoic mixtures using the multichannel complex NMF framework

  2015cited by this paper
• Improving Robustness of Deep Neural Network Acoustic Models via Speech Separation and Joint Adaptive Training

  2015cited by this paper
• Two-stage blind audio source counting and separation of stereo instantaneous mixtures using Bayesian tensor factorisation

  2015cited by this paper
• Deep stacking networks with time series for speech separation

  2014cited by this paper
• Multi-band multi-centroid clustering based permutation alignment for frequency-domain blind speech separation

  2014cited by this paper
• Blind audio source separation of stereo mixtures using Bayesian Non-negative Matrix Factorization

  2014cited by this paper
• Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis

  2014cited by this paper
• Nonnegative Matrix and Tensor Factorizations : An algorithmic perspective

  2014cited by this paper
• Blind speech source localization, counting and separation for 2-channel convolutive mixtures in a reverberant environment

  2014cited by this paper
• Blind separation of non-stationary sources using continuous density hidden Markov models

  2013cited by this paper
• Deep neural networks for single channel source separation

  2013cited by this paper
• Convolutive Underdetermined Source Separation through Weighted Interleaved ICA and Spatio-temporal Source Correlation

  2012cited by this paper
• Online speech source separation based on maximum likelihood of local Gaussian modeling

  2011cited by this paper
• A General Framework for Online Audio Source Separation

  2011cited by this paper
• A sparsity based criterion for solving the permutation ambiguity in convolutive blind source separation

  2011cited by this paper
• Underdetermined Convolutive Blind Source Separation via Frequency Bin-Wise Clustering and Permutation Alignment

  2011cited by this paper
• Batch and Adaptive PARAFAC-Based Blind Separation of Convolutive Speech Mixtures

  2010cited by this paper
• Scaled factorial hidden Markov models: A new technique for compensating gain differences in model-based single channel speech separation

  2010cited by this paper
• PMOG: The projected mixture of Gaussians model with application to blind source separation

  2010cited by this paper
• Monaural Speech Separation Based on Gain Adapted Minimum Mean Square Error Estimation

  2010cited by this paper
• Département Traitement du Signal et des Images

  2009cited by this paper
• Under-Determined Reverberant Audio Source Separation Using a Full-Rank Spatial Covariance Model

  2009cited by this paper
• Blind Source Separation Using Virtual Sensors

  2009cited by this paper
• Tensor Decompositions and Applications

  2009cited by this paper
• First Stereo Audio Source Separation Evaluation Campaign: Data, Algorithms and Results

  2007cited by this paper
• Temporal and time-frequency correlation-based blind source separation methods. Part I: Determined and underdetermined linear instantaneous mixtures

  2007cited by this paper
• Long-Term Gain Estimation in Model-Based Single Channel Speech Separation

  2007cited by this paper
• Performance measurement in blind audio source separation

  2006cited by this paper
• ICA-Based Clustering for Resolving Permutation Ambiguity in Frequency-Domain Convolutive Source Separation

  2006cited by this paper
• A time-frequency blind signal separation method applicable to underdetermined mixtures of dependent sources

  2005cited by this paper
• Survey of sparse and non‐sparse methods in source separation

  2005cited by this paper
• Underdetermined Blind Separation of Convolutive Mixtures of Speech Using Time-Frequency Mask and Mixing Matrix Estimation

  2005cited by this paper
• Measuring speech quality for text-to-speech systems: development and assessment of a modified mean opinion score (MOS) scale

  2005cited by this paper
• Blind Source Separation and Independent Component Analysis : A Review

  2004cited by this paper
• Blind separation of speech mixtures via time-frequency masking

  2004cited by this paper
• A robust and precise method for solving the permutation problem of frequency-domain blind source separation

  2004cited by this paper
• REAL-TIME IMPLEMENTATION OF A SOURCE SEPARATION ALGORITHM

  2003cited by this paper
• Blind separation of dependent sources using the "time-frequency ratio of mixtures" approach

  2003cited by this paper
• Minimal distortion principle for blind source separation

  2002cited by this paper
• Blind Source Separation via Multinode Sparse Representation

  2001cited by this paper
• Blind source separation by sparse decomposition

  2000cited by this paper
• k-Plane Clustering

  2000cited by this paper
• Considering non-stationarity for blind signal separation

  1999cited by this paper
• Acoustic Source Separation: Fundamental Issues

  1999cited by this paper
• Independent Component Analysis Using an Extended Infomax Algorithm for Mixed Subgaussian and Supergaussian Sources

  1999cited by this paper
• Blind signal separation: statistical principles

  1998cited by this paper
• A blind source separation technique using second-order statistics

  1997cited by this paper
• Clustering via Concave Minimization

  1996cited by this paper
• An Introduction to Speech Coding

  1995cited by this paper
• Multi-channel signal separation by decorrelation

  1993cited by this paper
• An iterative linear programming solution to the Euclidean regression model

  1991cited by this paper

• Fault diagnosis of air conditioning compressor bearings using wavelet packet decomposition and improved 1D-CNN

  2025cites this paper
• A novel framework for under-determined blind source separation based on adaptive source counting using mixed linear and circular data clustering algorithm for low latency applications

  2024influential citation
• SA-UCBSS: Sparsity-Based Adaptive Underdetermined Convolutive Blind Source Separation

  2024cites this paper
• Independent vector analysis: Model, applications, challenges

  2023cites this paper
• Blind Source Separation in Perspective of ICA Algorithms: A Review

  2022cites this paper