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Advanced Technology Labs /

People / Gautham J. Mysore

Overview People Projects Publications Internships About

Gautham J. Mysore

Research Scientist

Gautham J. Mysore

I am a research scientist at Adobe’s Advanced Technology Labs in San Francisco. I received my Ph.D. and M.A. from the Center for Computer Research in Music and Acoustics (CCRMA) at Stanford University and my M.S. in Electrical Engineering also  from Stanford. I have previously been a visiting researcher at the Gatsby Computational Neuroscience Unit at the University College London. I have also previously spent time at Microsoft Research and the Department of Electrical Communication Engineering at the lndian Institute of Science.

I work on signal processing and machine learning applied to audio. I like to get right into the math and develop new algorithms. I also like to work on all kinds of practical audio applications.

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

Audio Imputation Using the Non-negative Hidden Markov Model

Jinyu Han, Gautham J. Mysore, Bryan Pardo (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

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

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

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 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

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