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Noise-to-mask ratio minimization by weighted non-negative matrix factorization
2010
2010 IEEE International Conference on Acoustics, Speech and Signal Processing
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This paper proposes a novel algorithm for minimizing the perceptual distortion in non-negative matrix factorization (NMF) based audio representation. ...
We formulate the noise-to-mask ratio audio quality criterion in a form where it can be used in NMF and propose an algorithm for optimizing the criterion. ...
CONCLUSION We have proposed a method for minimizing the noise-to-mask ratio using non-negative matrix factorization. ...
doi:10.1109/icassp.2010.5496264
dblp:conf/icassp/NikunenV10
fatcat:6kfq52vgabhxfdykdcbshgmpiu
Weighted Nmf For High-Resolution Mass Spectrometry Analysis
2012
Zenodo
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This weighting matrix is non negative and takes its values between 0 and 1. ...
the Weighted Nonnegative Matrix Factorization (WNMF). ...
doi:10.5281/zenodo.42936
fatcat:5qpgerpxjrb6bfz5x3ct5bzdja
Ghost Projection
[article]
2021
arXiv
pre-print
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We explore three means of achieving ghost projection: (i) weighting each random mask, namely selecting its exposure time, according to its correlation with a desired image, (ii) selecting a subset of random ...
Ghost imaging is a developing imaging technique that employs random masks to image a sample. ...
Pseudo-correlation Weighted Ghost Projection Suppose we wish to project a desired image I ij , up to an additive constant, using a non-negative randommatrix basis R ijk weighted by non-negative coefficients ...
arXiv:2109.01666v1
fatcat:jwcjaghgevd3tc3dqboshsnxbi
Restoration Of Audio Documents With Low Snr: A Nmf Parameter Estimation And Perceptually Motivated Bayesian Suppression Rule
2010
Proceedings of the SMC Conferences
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(Abstract to follow) ...
A recent approach to separate an acoustic source is provided by Non-negative Matrix Factorization (NMF). ...
The proposed approach tries to solve this problem with a solution based on an extended Non-negative Matrix Factorization algorithm and prior knowledge on interference. ...
doi:10.5281/zenodo.849819
fatcat:atduuqf6rzhi3cnck2hj2fcxje
An Overcomplete Wdft Sinusoidal Basis For Perceptually Motivated Speech Enhancement
2005
Zenodo
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Noise attenuation factor (NA) defined as the mean ratio of the input to output noise power, was used to evaluate the suppression capabilities of tested systems. ...
) To calculate weighting coefficients the estimates of the masking threshold ( ) TT R ω and noise power spectral density ( ) nn R ω are only needed. ...
doi:10.5281/zenodo.38995
fatcat:5ealk6ttgbhixggqpt3w2nzhxu
INTERPOLATING MASKED WEAK-LENSING SIGNAL WITH KARHUNEN-LOÈVE ANALYSIS
2011
Astrophysical Journal
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2011 pre-print arXiv:1109.5175v1 fatcat:xw6lacvjx5f7fhckrdf6hetsgi
We find that the KL procedure not only minimizes the bias due to masked regions in the field, it also reduces spurious peak counts from shape noise by a factor of ~ 3 in the cosmologically sensitive regime ...
We develop a method to use two dimensional KL eigenmodes of shear to interpolate noisy shear measurements across masked regions. ...
The simulation used to produce the catalogs is one of the Carmen simulations, a 1 Gpc simulation run by M. Busha as part of the Las-Damas project. ...
doi:10.1088/0004-637x/744/2/180
fatcat:y4nlbusjjzflllm3epp43guexi
Itakura-Saito Divergence Non Negative Matrix Factorization with Application to Monaural Speech Separation
2016
International Journal of Computer Applications
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However, many solutions have been developed to achieve clean separation based on Non-Negative Matrix Factorization (NMF). ...
Besides that, Source to distortion ratio (SDR) and Source to Artifact Ratio (SAR) were found to be higher when compared with NMF algorithms with Kullback-Leibler and Euclidean divergences. ...
Various Non-Negative Matrix factorization based techniques have been widely employed to achieve separation in this regime and these include shifted NMF [5] Non-negative matrix factorization (NMF) has ...
doi:10.5120/ijca2016912112
fatcat:tiu2j4lz7rbxnnox625xbxg5iu
Audio Restoration Of Solo Guitar Excerpts Using A Excitation-Filter Instrument Model
2013
Proceedings of the SMC Conferences
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(Abstract to follow) ...
in an augmented non-negative matrix factorization (NMF) algorithm. ...
In the case of magnitude spectra, the parameters are restricted to be non-negative, then, a common way to compute the factorization is to minimize the reconstruction error between the observed spectrogram ...
doi:10.5281/zenodo.850219
fatcat:dgwa6vlqcne67movyxqvvyeuly
3D Acoustic Mapping in Automotive Wind Tunnel: Algorithm and Problem Analysis on Simulated Data
2021
Applied Sciences
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In fact, the car is a 3D object that radiates noise from different parts simultaneously, involving different noise generation mechanisms such as tire noise and aerodynamic noise. ...
Such a controlled simulation environment, by contrast to a purely experimental case, enables accurate assessment of both the localization and quantification performance of the proposed method. ...
Acknowledgments: The authors wish to thank and acknowledge the work of the Pininfarina team during the EU project WENEMOR (Grant agreement no: 278419. ...
doi:10.3390/app11073241
fatcat:qb6dhndu5va5tft7xdftts7bty
Single channel speech music separation using nonnegative matrix factorization and spectral masks
2011
2011 17th International Conference on Digital Signal Processing (DSP)
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The proposed algorithm uses training data of speech and music signals with nonnegative matrix factorization followed by masking to separate the mixed signal. ...
A single channel speech-music separation algorithm based on nonnegative matrix factorization (NMF) with spectral masks is proposed in this work. ...
NON-NEGATIVE MATRIX FACTORIZATION Non-negative matrix factorization is an algorithm that is used to decompose any nonnegative matrix into a nonnegative basis vectors matrix and a nonnegative weights matrix ...
doi:10.1109/icdsp.2011.6004924
fatcat:ghkkqhpps5fefixodba52hn7ra
Estimating nonnegative matrix model activations with deep neural networks to increase perceptual speech quality
2015
Journal of the Acoustical Society of America
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On the other hand, nonnegative matrix factorization (NMF) addresses separation by linearly combining basis vectors from speech and noise models to approximate noisy speech. ...
A deep neural network then approximates clean speech by estimating activation weights from the ratio-masked speech, where the weights linearly combine elements from a NMF speech model. ...
ACKNOWLEDGMENTS This research was supported in part by an AFOSR grant (No. FA9550-12-1-0130), an NIDCD grant (No. R01 DC012048), and the Ohio Supercomputer Center. ...
doi:10.1121/1.4928612
pmid:26428778
pmcid:PMC5392055
fatcat:2ydwgowujfbh7a4f5jaziqtmva
Singing-voice separation from monaural recordings using robust principal component analysis
2012
2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Moreover, we examine the separation result by using a binary time-frequency masking method. ...
Music accompaniment can be assumed to be in a low-rank subspace, because of its repetition structure; on the other hand, singing voices can be regarded as relatively sparse within songs. ...
(SIR), Source to Artifacts Ratio (SAR), and Source to Distortion Ratio (SDR) by BSS-EVAL metrics [14] . ...
doi:10.1109/icassp.2012.6287816
dblp:conf/icassp/HuangCSH12
fatcat:ftnv7ldkzrbdvfpcg6a7ur7apu
Robust Infrared Superpixel Image Separation model for small target detection
2021
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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Second, an outlier superpixel masking (OSM) model is proposed to perform accurate identification and masking of the outlier superpixels with highly heterogeneous backgrounds, thus minimizing false alarm ...
Finally, a singular value truncation strategy with entropy weighted sparse factor (SVT-EW) is proposed to implement the final target extraction, which assigns specific sparsity weights for small infrared ...
A Non-negative IPI model based on Partial Sum minimization of singular values (NIPPS) [38] introduces additional non-negative constraints and singular value partial sum minimization to make targeted ...
doi:10.1109/jstars.2021.3116965
fatcat:2m3nwjjarvftpirljqaacmtr2m
Robust Matrix Factorization with Grouping Effect
[article]
2021
arXiv
pre-print
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In addition, GRMF can be easily extended to the Non-negative Matrix Factorization (NMF) settings. ...
Although many techniques have been applied to matrix factorization (MF), they may not fully exploit the feature structure. ...
The Robust Non-negative Matrix Factorization (RNMF) (Zhang et al., 2011) decomposes the non-negative data matrix as the summation of one sparse error matrix and the product of two non-negative matrices ...
arXiv:2106.13681v2
fatcat:l2vxbs3tcrgyhdlkcfmtlrllsq
Harmonic-Percussive Source Separation of Polyphonic Music by Suppressing Impulsive Noise Events
2018
Interspeech 2018
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In this work, we have proposed Affine and Gain masking methods to separate the harmonic and percussive components to achieve minimal spectral leakage. ...
The significant advantage of the proposed method is that it minimizes the artifacts in the separated signal spectrograms. ...
The authors would like to thank Google for supporting first author PhD under Google India PhD Fellowship program. ...
doi:10.21437/interspeech.2018-1310
dblp:conf/interspeech/MRD18
fatcat:jez44awz5baxhnflxfjjrqlwz4
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