People / Paris Smaragdis
Paris Smaragdis
Senior Research Scientist
I'm faculty at the University of Illinois and part-timing as a research scientist at Adobe. My broader area of interest encompasses anything that involves sound. I spent most of my time working on novel uses of machine learning and signal processing on audio signals, and thinking on what it takes to make a machine listen, understand and appreciate the expressiveness of sound the same way we do.
I completed my Ph.D. and S.M. degrees and did a postdoc at the MIT Media Lab while working at the Machine Listening Group under professor Barry Vercoe. I was also very fortunate to spend time working at some amazing research labs such as Interval Research, Starlab, and Mitsubishi Electric Research Laboratories (MERL). In 2006 I was honored by the MIT Technology Review which recognized me as one of the year's top 35 young technology innovators.
Publications |
Following Musical Sources by Example
Paris Smaragdis, Gautham J. Mysore (Mar 25, 2012)
ICASSP - IEEE International Conference on Acoustics, Speech, and Signal Processing, March 2012
Clustering and Synchronizing Multi-camera Video via Landmark Cross-correlation
Nicholas Bryan, Paris Smaragdis, Gautham J. Mysore (Mar 25, 2012)
ICASSP - IEEE International Conference on Acoustics, Speech, and Signal Processing, March 2012
Noise-Robust Dynamic Time Warping Using PLCA Features
Brian King, Paris Smaragdis, Gautham J. Mysore (Mar 25, 2012)
ICASSP - IEEE International Conference on Acoustics, Speech, and Signal Processing, March 2012
A Non-negative Approach to Language Informed Speech Separation
Gautham J. Mysore, Paris Smaragdis (Mar 12, 2012)
LVA/ICA - International Conference on Latent Variable Analysis and Signal Separation, March 2012
Sound Recognition in Mixtures
Juhan Nam, Gautham J. Mysore, Paris Smaragdis (Mar 12, 2012)
LVA/ICA - International Conference on Latent Variable Analysis and Signal Separation, March 2012
Online PLCA for Real-Time Semi-supervised Source Separation
Zhiyao Duan, Gautham J. Mysore, Paris Smaragdis (Mar 12, 2012)
LVA/ICA - International Conference on Latent Variable Analysis and Signal Separation, March 2012
A Convolutive Spectral Decomposition Approach to the Separation of Feedback from Target Speech
Gautham J. Mysore, Paris Smaragdis (Sep 18, 2011)
MLSP - IEEE International Workshop on Machine Learning for Signal Processing, September 2011
A Non-Negative Approach to Semi-Supervised Separation of Speech from Noise with the Use of Temporal Dynamics
Gautham J. Mysore, Paris Smaragdis (May 22, 2011)
ICASSP - IEEE International Conference on Acoustics, Speech, and Signal Processing, May 2011
An Adaptive Time-Frequency Resolution Approach for Non-Negative Matrix Factorization Based Single Channel Sound Source Separation
Kirbiz, S., and Smaragdis, P. (Feb 01, 2011)
ICASSP 2011 - International Conference on Acoustics, Speech, and Signal Processing
Nearest Subspace Representations for Sound Mixtures
Smaragdis, P. (Feb 01, 2011)
ICASSP 2011 - International Conference on Acoustics, Speech, and Signal Processing
Non-negative Hidden Markov Modeling of Audio with Application to Source Separation
Gautham J. Mysore, Paris Smaragdis, Bhiksha Raj (Sep 27, 2010)
LVA/ICA - International Conference on Latent Variable Analysis and Signal Separation, September 2010
Best Student Paper Award
Missing Data Imputation for Time-Frequency Representations of Audio Signals
Smaragdis, P., Raj, B., and Shashanka, M. (Aug 30, 2010)
In the Journal of Signal Processing Systems. August 2010
The Markov Selection Model For Concurrent Speech Recognition
Smaragdis, P. and Raj, B. (Feb 01, 2010)
In IEEE International Workshop on Machine Learning for Signal Processing, 2010
Automatic Identification of Individual Killer Whales
Brown, J., Smaragdis, P., and Nousek-McGregor, A. (Feb 01, 2010)
In The Journal of the Acoustical Society of America,128
A Sparse Non-parametric Approach for Single Channel Separation of Known Sounds
Smaragdis, P., Shashanka, M., and Raj, B. (Dec 30, 2009)
In Neural Information Processing Systems. Vancouver, BC, Canada. December 2009
User Guided Audio Selection from Complex Sound Mixtures
Smaragdis, P. (Oct 30, 2009)
In the 22nd ACM Symposium on User Interface Software and Technology (UIST 09). Victoria, BC, Canada. October 2009
Separation by Humming: User Guided Sound Extraction from Monophonic Mixtures
Gautham J. Mysore, Paris Smaragdis (Oct 18, 2009)
WASPAA - IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, October 2009
Dynamic Range Extension Using Interleaved Gains
Smaragdis, P. (Jul 30, 2009)
In IEEE Transactions of Audio, Speech and Language Processing. July 2009
Multipitch Estimation using Sparse Impulse Distributions and Instrument Specific Priors
Gautham J. Mysore, Paris Smaragdis (Jun 18, 2009)
IMCL - International Conference on Machine Learning (ICML) Workshop on Sparse Methods for Music Audio, June 2009
Relative Pitch Tracking of Multiple Arbitrary Sounds
Smaragdis, P. (May 30, 2009)
In Journal of the Acoustical Society of America, Volume 125, Issue 5, pp. 3406-3413. May 2009
Hidden Markov and Gaussian Mixture Models for Automatic Call Classification
Brown J., and Smaragdis, P. (May 30, 2009)
In Journal of the Acoustical Society of America Express Letters. May 2009
Relative Pitch Estimation of Multiple Instruments
(Apr 19, 2009)
ICASSP - IEEE International Conference on Acoustics, Speech, and Signal Processing, April 2009
Probabilistic Factorization of Non-Negative Data with Entropic Co-occurrence Constraints
Paris Smaragdis, Madhusudhana Shashanka, Bhiksha Raj, Gautham J. Mysore (Mar 15, 2009)
ICA - International Conference on Independent Component Analysis and Signal Separation, March 2009
Sparse and Shift-invariant Feature Extraction from Non- negative Data
Smaragdis, P., Raj, B., and Shashanka, M. (Dec 18, 2008)
In Proc. of the IEEE International Conference on Audio and Speech Signal Processing (ICASSP)
Blind Speech Separation
Smaragdis, P. (Dec 10, 2007)
eds. S. Makino, T. L. and Sawada, H.. Springer, ch. Component Based Techniques for Monophonic Speech Separation and Recognition
