Paris Smaragdis
Title
Cited by
Cited by
Year
Non-negative matrix factorization for polyphonic music transcription
P Smaragdis, JC Brown
2003 IEEE Workshop on Applications of Signal Processing to Audio and …, 2003
11422003
Blind separation of convolved mixtures in the frequency domain
P Smaragdis
Neurocomputing 22 (1-3), 21-34, 1998
9931998
Convolutive speech bases and their application to supervised speech separation
P Smaragdis
IEEE Transactions on Audio, Speech, and Language Processing 15 (1), 1-12, 2006
4442006
Non-negative matrix factor deconvolution; extraction of multiple sound sources from monophonic inputs
P Smaragdis
International Conference on Independent Component Analysis and Signal …, 2004
4192004
Supervised and unsupervised speech enhancement using nonnegative matrix factorization
N Mohammadiha, P Smaragdis, A Leijon
IEEE Transactions on Audio, Speech, and Language Processing 21 (10), 2140-2151, 2013
3882013
Deep learning for monaural speech separation
PS Huang, M Kim, M Hasegawa-Johnson, P Smaragdis
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
3872014
Joint optimization of masks and deep recurrent neural networks for monaural source separation
PS Huang, M Kim, M Hasegawa-Johnson, P Smaragdis
IEEE/ACM Transactions on Audio, Speech, and Language Processing 23 (12 …, 2015
3802015
Singing-voice separation from monaural recordings using robust principal component analysis
PS Huang, SD Chen, P Smaragdis, M Hasegawa-Johnson
2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012
3622012
Speech denoising using nonnegative matrix factorization with priors
KW Wilson, B Raj, P Smaragdis, A Divakaran
2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008
3092008
Supervised and semi-supervised separation of sounds from single-channel mixtures
P Smaragdis, B Raj, M Shashanka
International Conference on Independent Component Analysis and Signal …, 2007
2942007
Bitwise neural networks
M Kim, P Smaragdis
arXiv preprint arXiv:1601.06071, 2016
2142016
Evaluation of blind signal separation methods
D Schobben, K Torkkola, P Smaragdis
Proc. ICA 99, 889-892, 1999
1921999
A probabilistic latent variable model for acoustic modeling
P Smaragdis, B Raj, M Shashanka
Advances in models for acoustic processing, NIPS 148, 8-1, 2006
1892006
Audio analysis for surveillance applications
R Radhakrishnan, A Divakaran, A Smaragdis
IEEE Workshop on Applications of Signal Processing to Audio and Acoustics …, 2005
1872005
Static and dynamic source separation using nonnegative factorizations: A unified view
P Smaragdis, C Fevotte, GJ Mysore, N Mohammadiha, M Hoffman
IEEE Signal Processing Magazine 31 (3), 66-75, 2014
1702014
Non-negative hidden Markov modeling of audio with application to source separation
GJ Mysore, P Smaragdis, B Raj
International Conference on Latent Variable Analysis and Signal Separation …, 2010
1542010
Probabilistic latent variable models as nonnegative factorizations
M Shashanka, B Raj, P Smaragdis
Computational intelligence and neuroscience 2008, 2008
1542008
Singing-Voice Separation from Monaural Recordings using Deep Recurrent Neural Networks.
PS Huang, M Kim, M Hasegawa-Johnson, P Smaragdis
ISMIR, 477-482, 2014
1402014
Combining Musical and Cultural Features for Intelligent Style Detection.
B Whitman, P Smaragdis
ISMIR, 2002
1272002
Separation by “humming”: User-guided sound extraction from monophonic mixtures
P Smaragdis, GJ Mysore
2009 IEEE Workshop on Applications of Signal Processing to Audio and …, 2009
1212009
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Articles 1–20