Results 31 to 40 of about 451,315 (310)
Unsupervised Training of a Deep Clustering Model for Multichannel Blind Source Separation [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2019 We propose a training scheme to train neural network-based source separation algorithms from scratch when parallel clean data is unavailable. In particular, we demonstrate that an unsupervised spatial clustering algorithm is sufficient to guide the ...
Lukas Drude +2 more
semanticscholar +1 more source
EURASIP Journal on Audio, Speech, and Music Processing, 2010 Frequency-domain blind source separation (BSS) performs poorly in high reverberation because the independence assumption collapses at each frequency bins when the number of bins increases.
Lin Wang, Heping Ding, Fuliang Yin
doaj +1 more source
APSIPA Transactions on Signal and Information Processing, 2019 This paper describes several important methods for the blind source separation of audio signals in an integrated manner. Two historically developed routes are featured.
H. Sawada +4 more
semanticscholar +1 more source
Blind Source Separation based on Whale Optimization Algorithm
MATEC Web of Conferences, 2018 Aiming at the problem of linear instantaneous aliasing in blind source separation, a new method of blind signal separation using whale optimization algorithm is proposed in this paper, which provides a new research idea and method for blind signal ...
Ding-li CHU, Hong CHEN, Han-yi CHEN
doaj +1 more source
Underdetermined Blind Separation by Combining Sparsity and Independence of Sources
IEEE Access, 2017 In this paper, we address underdetermined blind separation of N sources from their M instantaneous mixtures, where N > M, by combining the sparsity and independence of sources.
Peng Chen +4 more
doaj +1 more source
An adaptive stereo basis method for convolutive blind audio source separation [PDF]
, 2008 NOTICE: this is the author’s version of a work that was accepted for publication in Neurocomputing. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may ...
Abdallah +40 more
core +1 more source
A Blind Source Separation Framework for Ego-Noise Reduction on Multi-Rotor Drones
IEEE/ACM Transactions on Audio Speech and Language Processing, 2020 Acoustic sensing from a multi-rotor drone is heavily degraded by the strong ego-noise produced by the rotating motors and propellers. To address this problem, we propose a blind source separation (BSS) framework that extracts a target sound from noisy ...
Lin Wang, A. Cavallaro
semanticscholar +1 more source
Blind source separation communication anti-jamming technology and practice
Tongxin xuebao, 2023 Aiming at the threat of broad frequency band suppressing jamming and the inherent contradiction between spectrum resources and communication anti-jamming ability, a method was proposed to add the statistics domain dimension on the basis of spread ...
Fuqiang YAO +3 more
doaj +2 more sources
Performing Nonlinear Blind Source Separation with Signal Invariants
, 2009 Given a time series of multicomponent measurements x(t), the usual objective of nonlinear blind source separation (BSS) is to find a "source" time series s(t), comprised of statistically independent combinations of the measured components. In this paper,
Levin, David N.
core +1 more source
Second order statistics based blind source separation for artifact correction of short ERP epochs [PDF]
, 2003 ERP is commonly obtained by averaging over segmented EEC epochs. In case artifacts are present in the raw EEC measurement, pre-processing is required to prevent the averaged ERP waveform being interfered by artifacts. The simplest pre-processing approach
Chan, CCH +5 more
core +1 more source