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Paris Smaragdis
Tytuł
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Non-negative matrix factorization for polyphonic music transcription
P Smaragdis, JC Brown
2003 IEEE Workshop on Applications of Signal Processing to Audio and …, 2003
12382003
Blind separation of convolved mixtures in the frequency domain
P Smaragdis
Neurocomputing 22 (1-3), 21-34, 1998
10451998
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
5052015
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
4872014
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
4802006
Non-negative matrix factor deconvolution; extraction of multiple sound sources from monophonic inputs
P Smaragdis
Independent Component Analysis and Blind Signal Separation: Fifth …, 2004
4562004
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
4422013
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
4182012
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
3522008
Supervised and semi-supervised separation of sounds from single-channel mixtures
P Smaragdis, B Raj, M Shashanka
Independent Component Analysis and Signal Separation: 7th International …, 2007
3212007
Bitwise neural networks
M Kim, P Smaragdis
arXiv preprint arXiv:1601.06071, 2016
2812016
Audio analysis for surveillance applications
R Radhakrishnan, A Divakaran, A Smaragdis
IEEE Workshop on Applications of Signal Processing to Audio and Acoustics …, 2005
2412005
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
2092014
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
2002006
Evaluation of blind signal separation methods
D el Schobben, K Torkkola, P Smaragdis
2001999
Singing-Voice Separation from Monaural Recordings using Deep Recurrent Neural Networks.
PS Huang, M Kim, M Hasegawa-Johnson, P Smaragdis
ISMIR, 477-482, 2014
1682014
Non-negative hidden Markov modeling of audio with application to source separation
GJ Mysore, P Smaragdis, B Raj
Latent Variable Analysis and Signal Separation: 9th International Conference …, 2010
1672010
Probabilistic latent variable models as nonnegative factorizations
M Shashanka, B Raj, P Smaragdis
Computational intelligence and neuroscience 2008, 2008
1582008
Combining Musical and Cultural Features for Intelligent Style Detection.
B Whitman, P Smaragdis
ISMIR, 2002
1452002
Regularized non-negative matrix factorization with temporal dependencies for speech denoising.
KW Wilson, B Raj, P Smaragdis
Interspeech, 411-414, 2008
1282008
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