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Ph.D. Student mjr59{at}ee.columbia.edu |
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Hi.
I am
a 5th year Ph.D. student at Columbia University in the Laboratory for
the
Recognition and Organization of Speech and Audio, LabROSA,
under the supervision of professor Dan
Ellis. I also collaborate in diverse projects with Nebojsa
Jojic at Microsoft Research and with Bhiksha
Raj at Mitsubishi Electric Research Labs (MERL)
!!!
I MOVED !!!
I am now at Microsoft Research as a
post
doctoral researcher in the Machine Learning and Applied Statistics
Group,
MLAS.
I will be defending my thesis
sometime
in June. I can still be contacted at my Columbia address.
My almost none existant (for now)
new
website at MSR is: http://research.microsoft.com/~manuelrg
- Pattern Recognition and Machine Learning Techniques for Digital Audio Organization and Modeling.
- Audio Source Separation.
- Speech Recognition
- Content Based Audio Classification and Retrieval(see a review of (not so) recent papers)
- Thesis Proposal, Draft.
- Deformable Spectrograms: Spectral Tracking for Source Separation and Speech Recogntion Applications using Graphical Models and Loopy Belief Propagation ( with Nebojsa Jojic at MSR)
- Graphical Models and Variational Methods for Source Separation and other Audio Applications . (with Microsoft Research)
- Generic Audio Modeling.
- Filter Optimization for Multispeaker Separation at MERL
- Tandem Acoustic Modeling for Automatic Speech Recognition Report 1 and 2.1
- User-Defined Object Classifier based in Neural Network with Optimal Selection of Visual Features using a Genetic Algorithm
- Knowledge Based Semantic Segmentation Using Evolutionary Programming
- M. J. Reyes-Gomez, N. Jojic and D. P.W. Ellis, ``Dominant Speaker Segmentation of Sound Mixtures with the Deformable Spectrogram Model''. In preparation for IEEE Transactions on Speech and Audio Processing, February 2005
- M. J. Reyes-Gomez, N. Jojic and D. P.W. Ellis ``The Deformable Spectrogram Model for Sound Dynamics'' Website Submitted to Special Issue on Statistical Models, IEEE Transactions on Speech and Audio Processing, January 2005
- M. J. Reyes-Gomez, N. Jojic and D. P.W. Ellis. Deformable Spectrograms Website Artificial Intelligence and Statistics, AISTATS'05. Barbados, January 2005
- M. J. Reyes-Gomez, N. Jojic and D. P.W. Ellis. Towards Single-Channel Unsupervised Source Separation of Speech Mixtures: The Layered Harmonics/Formants Separation/Tracking Model. Research Workshop on Statistical and Perceptual Audio Processing, SAPA04, Korea October, 2004.
- N. Jojic, Y. Caspi and M. J. Reyes-Gomez. Probabilistic Index Maps for Modeling Natural Signals. Conference on Uncertainty in Artificial Intelligence. Banff, Canada, July 2004
- M.J. Reyes-Gomez,N. Jojic and D.P.W. Ellis. Detailed graphical models for source separation and missing data interpolation in audio. 2004 Snowbird Learning Workshop Snowbird, Utah, March 2004
- M.J. Reyes-Gomez, D.P.W. Ellis and N. Jojic. Multiband Audio Modeling for Single Channel Acoustic Source Separation, ICASSP Montreal 2004
- B. Raj, M.L. Seltzer and M.J. Reyes-Gomez, "Speech Recognizer Based Maximum Likelihood Beamforming", Book chapter, Speech Separation by Humans and Machines, ed. P. Divenyi, Kluwer.
- M.J. Reyes-Gomez, B. Raj and D.P.W. Ellis. Multi-channel Source Separation by Beamforming Trained with Factorial HMMS, IEEE Workshop on Applications of Signal Procesing to Audio and Acoustics, New Paltz, NY 2003
- M.J. Reyes-Gomez and D.P.W Ellis(2003). Selection, Parameter Estimation and Discriminative Training of Hidden Markov Models for Generic Acoustic Modeling International Conference on Multimedia and Expo, Baltimore 2003
- M.J. Reyes-Gomez, B. Raj and D.P.W. Ellis. Multi-channel source separation by factorial HMMs, ICASSP Hong Kong 2003
- M.J. Reyes-Gomez and D.P.W. Ellis. Error visualization for tandem acoustic modeling on the Aurora task ICASSP, Orlando, May 2002.
- D.P.W. Ellis and M.J. Reyes Gomez (2001). Investigations into Tandem Acoustic Modeling for the Aurora Task Proc. Eurospeech-01, Denmark, September 2001.
- M. J. Reyes-Gomez. User-Defined Object Classifier based in Neural Network with Optimal Selection of Visual Features using a Genetic Algorithm. Columbia University Technical Report, 1999
- Manuel J. Reyes-Gomez, Nebojsa Jojic and Daniel P.W. Ellis. "Deformable Spectrograms" IBM Research - Multimedia - Seminars, Hawthorne NY, March 2005
- Manuel J. Reyes-Gomez, Nebojsa Jojic and Daniel P.W. Ellis. "Deformable Spectrograms" National Science Foundation Workshop on Speech Separation and Comprehension in Complex Acoustic Environments. Montreal Quebec November 2004
- Manuel J. Reyes-Gomez, Nebojsa Jojic and Daniel P.W. Ellis. "Harmonics/Formants Separation and Tracking Model''. International Conference "Auditory Scene Analysis and Speech Perception by Human and Machine''. Hanse Institute for Advanced Study, Delmenhorst, Germany August 2004.
- Manuel J. Reyes-Gomez. "Statistical Models for Source Separation, Scene Analysis and Other Audio Applications'' Victoria University, Victoria Canada, July 2004.
- Manuel J. Reyes-Gomez. "Graphical Models and Variational Methods for Source Separation and other Audio Applications.'' 2003 IBM User Interface Technology (UIT) Student Symposium. IBM T.J. Watson Research Center, NY. September 2003