Results 31 to 40 of about 167,965 (293)
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
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Blind Audio Source Separation With Minimum-Volume Beta-Divergence NMF [PDF]
IEEE Transactions on Signal Processing, 2019 Considering a mixed signal composed of various audio sources and recorded with a single microphone, we consider in this paper the blind audio source separation problem which consists in isolating and extracting each of the sources.
V. Leplat, Nicolas Gillis, A. Ang
semanticscholar +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
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International Conference on Knowledge-Based Intelligent Information & Engineering Systems, 2020 Electrocardiogram (ECG) test is very important for fetus condition inspection so as to avoid stillbirth and neonatal death during pregnancy. It is well known and widely used as a medical tool as it is convenient and non-invasive.
D. A. Ramli +2 more
semanticscholar +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
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
Underdetermined Blind Audio Source Separation Using Modal Decomposition
EURASIP Journal on Audio, Speech, and Music Processing, 2007 This paper introduces new algorithms for the blind separation of audio sources using modal decomposition. Indeed, audio signals and, in particular, musical signals can be well approximated by a sum of damped sinusoidal (modal) components.
Aïssa-El-Bey Abdeldjalil +2 more
doaj +2 more sources
Blind source separation in the presence of weak sources
Neural Networks, 2000 Accepted for publication in Neural ...
Jean-Pierre Nadal +2 more
openaire +3 more sources
Multimodal blind source separation for moving sources [PDF]
2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009 A novel multimodal approach is proposed to solve the problem of blind source separation (BSS) of moving sources. The challenge of BSS for moving sources is that the mixing filters are time varying, thus the unmixing filters should also be time varying, which are difficult to track in real time.
Syed M. Naqvi +2 more
openaire +1 more source
Identification of Modal Parameters Using an Improved Sparse Blind Source Separation Method
IEEE AccessDuring the past decade, blind source separation (BSS) method has become an effective tool to characterize and identify modal parameters of linear systems.
Gang Yu, Aoran Wang
doaj +1 more source