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Paris Smaragdis
Paris Smaragdis
University of Illinois at Urbana-Champaign / Adobe Research
Подтвержден адрес электронной почты в домене illinois.edu - Главная страница
Название
Процитировано
Процитировано
Год
Non-negative matrix factorization for polyphonic music transcription
P Smaragdis, JC Brown
2003 IEEE Workshop on Applications of Signal Processing to Audio and …, 2003
12992003
Blind separation of convolved mixtures in the frequency domain
P Smaragdis
Neurocomputing 22 (1-3), 21-34, 1998
10721998
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
5542014
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
5482015
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
5012006
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
4892013
Non-negative matrix factor deconvolution; extraction of multiple sound sources from monophonic inputs
P Smaragdis
Independent Component Analysis and Blind Signal Separation: Fifth …, 2004
4782004
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
4562012
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
3732008
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
3302007
Bitwise neural networks
M Kim, P Smaragdis
arXiv preprint arXiv:1601.06071, 2016
3282016
Audio analysis for surveillance applications
R Radhakrishnan, A Divakaran, A Smaragdis
IEEE Workshop on Applications of Signal Processing to Audio and Acoustics …, 2005
2752005
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
2292014
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
2072006
Evaluation of blind signal separation methods
DWE Schobben, K Torkkola, P Smaragdis
conference; ICA'99, International Workshop on Independent Component Analysis …, 1999
2041999
Singing-Voice Separation from Monaural Recordings using Deep Recurrent Neural Networks.
PS Huang, M Kim, M Hasegawa-Johnson, P Smaragdis
ISMIR, 477-482, 2014
1912014
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
1692010
Probabilistic latent variable models as nonnegative factorizations
M Shashanka, B Raj, P Smaragdis
Computational intelligence and neuroscience 2008 (1), 947438, 2008
1642008
Sudo rm-rf: Efficient networks for universal audio source separation
E Tzinis, Z Wang, P Smaragdis
2020 IEEE 30th International Workshop on Machine Learning for Signal …, 2020
1572020
Experiments on deep learning for speech denoising
D Liu, P Smaragdis, M Kim
Fifteenth Annual Conference of the International Speech Communication …, 2014
1572014
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