Research interests

• Speech recognition in adverse environments
• Acoustic modeling
• Microphone array processing
• Machine learning for speech and audio applications

Background

I have been a Researcher in the Speech Technology Group at Microsoft Research since October, 2003.

I did my graduate work in the department of Electrical and Computer Engineering at Carnegie Mellon University, receiving my M.S. in 2000 and my Ph.D. in 2003. While at CMU, I was a member of the Robust Speech Recognition group, led by my advisor Professor Richard Stern. My dissertation research focused on improving recognition accuracy in hands-free environments using microphone arrays.

From 1996-1998, I worked at Teradyne, Inc. as an Applications Engineer. Teradyne makes automatic test equipment (ATE) for the semiconductor industry.

I received my B.S. at Brown University in 1996. At Brown, I worked in the Laboratory for Engineering Man/Machine Systems (LEMS) with Professor Harvey Silverman on a huge microphone array project that was called, in fact, the Huge Microphone Array.

Publications

Book Chapters

• B. Raj, M. L. Seltzer and M. Reyes-Gomez. "Speech Recognizer-based Maximum Likelihood Beamforming", in P. Divenyi, ed., Speech Separation by Humans and Machines, Kluwer Academic Publishers, 2004.

Journal Publications

• A. Subramanya, M. L. Seltzer, and A. Acero. Automatic Removal of Typed Keystrokes from Speech Signals, IEEE Signal Processing Letters, Volume: 14, Issue: 5, May 2007, pp. 363-366.
• M. L. Seltzer and A. Acero. Training Wideband Acoustic Models Using Mixed-Bandwidth Training Data for Speech Recognition, in IEEE Trans. on Audio, Speech and Language Processing. Volume: 15 Issue: 1, Jan 2007. pp. 235-245.
• M. L. Seltzer and R. Stern. Subband Likelihood-Maximizing Beamforming for Speech Recognition in Reverberant Environments, in IEEE Trans. on Audio, Speech and Language Processing. Volume: 14 Issue: 6, Nov 2006. pp. 2109-2121.
• M. L. Seltzer, B. Raj, and R. Stern. Likelihood-Maximizing Beamforming for Robust Hands-Free Speech Recognition, in IEEE Trans. on Speech and Audio Processing. Volume: 12 Issue: 5, Sep 2004. pp. 489-498.
(IEEE SPS Young Author Best Paper Award 2006)
• B. Raj, M. L. Seltzer, and R. Stern. Reconstruction of Missing Features for Robust Speech Recognition, in Speech Communication, Elsevier. Volume: 43 Issue: 4, Sep 2004. pp. 275-296.
• M. L. Seltzer, B. Raj, and R. Stern. A Bayesian Classifier for Spectrographic Mask Estimation for Missing Feature Speech Recognition, in Speech Communication, Elsevier. Volume: 43 Issue: 4, Sep 2004. pp. 379-393.
• M. L. Seltzer and B. Raj. Speech recognizer-based filter optimization for microphone array processing, IEEE Signal Processing Letters, Volume: 10, Issue: 3, March 2003, pp. 69-71.

Conference Publications

• M. L. Seltzer, I. Tashev, and A. Acero, Microphone Array Post-filter Using Incremental Bayes Learning to Track the Spatial Distributions of Speech and Noise, in Proc. of ICASSP 2007, Honolulu, HI.
• A. Subramanya, M. L. Seltzer, and A. Acero. Automatic Removal of Typed Keystrokes from Speech Signals, in Proc. of the Interspeech Conference. Pittsburgh, Sep, 2006.
• Z. Liu, M. L. Seltzer, A. Acero, I. Tashev, Z. Zhang, and M. Sinclair. A Compact Multi-Sensor Headset for Hands-Free Communication, in Proc. of the Workshop on Applications of Signal Processing to Audio and Acoustics. New Paltz, NY, USA, Oct. 2005.
• I. Tashev, M. L. Seltzer, and A. Acero. Microphone Array for Headset with Spatial Noise Suppressor, in Proc. of the Ninth Int. Workshop on Acoustic, Echo and Noise Control (IWAENC). Eindhoven, The Netherlands, Sep. 2005.
• M. L. Seltzer, A. Acero, and J. Droppo. Robust Bandwidth Extension of Noise-corrupted Narrowband Speech, in Proc. of the Interspeech Conference. Lisbon, Portugal, Sep, 2005.
• M. L. Seltzer and A. Acero. An EM Algorithm for Training Wideband Acoustic Models from Mixed-Bandwidth Training Data, in Proc. of the IEEE Workshop on Automatic Speech Recognition and Understanding. Puerto Rico, Dec, 2005.
• M. L. Seltzer and A. Acero, Training Wideband Acoustic Models Using Mixed-Bandwidth Training Data via Feature Bandwidth Extension, in Proc. of ICASSP 2005, Philadelphia, PA.
• M. L. Seltzer and R. Stern, Parameter Sharing in Subband Likelihood-Maximizing Beamforming for Speech Recognition Using Microphone Arrays, in Proc. of ICASSP 2004, Montreal, Canada.
• M. L. Seltzer, J. Droppo, and A. Acero, A Harmonic-Model-Based Front End for Robust Speech Recognition, in Proc. of the Eurospeech Conference. Geneva, Switzerland, Sep, 2003.
• M. L. Seltzer and R. M. Stern, Subband parameter optimization of microphone arrays for speech recognition in reverberant environments, in Proc. of ICASSP 2003, Hong Kong.
• M. L. Seltzer, B. Raj, and R. M. Stern, Speech recognizer-based microphone array processing for robust hands-free speech recognition, in Proc. of ICASSP 2002, Orlando, FL.
• M. L. Seltzer and B. Raj, Calibration of microphone arrays for improved speech recognition, in Proc. of Eurospeech 2001, Aalborg, Denmark.
• B. Raj, M. L. Seltzer, and R. M. Stern, Robust speech recognition using missing features, in Proc. of the Workshop on Consistent and Reliable Cues (CRAC) for Sound Analysis 2001, Aalborg, Denmark.
• R. Singh, M. L. Seltzer, B. Raj, and R. M. Stern, Speech in noisy environments: robust automatic segmentation, feature extraction, and hypothesis combination, in Proc. of ICASSP 2001, Salt Lake City, UT.
• M. L. Seltzer, B. Raj, and R. M. Stern, Classifier-based mask estimation for missing feature methods of robust speech recognition, in Proc. ICSLP 2000, Beijing, China.
• B. Raj, M. L. Seltzer, and R. M. Stern, Reconstruction of damaged spectrographic features for robust speech recognition, in Proc. of ICSLP 2000, Beijing, China.

Theses

• M. L. Seltzer, Microphone Array Processing for Robust Speech Recognition, Ph.D. Thesis, Department of Electrical and Computer Engineering, Carnegie Mellon University, July, 2003.
• M. L. Seltzer, Automatic Detection of Corrupted Speech Features for Robust Speech Recognition, Master's Thesis, Department of Electrical and Computer Engineering, Carnegie Mellon University, May, 2000.

E-mail: mseltzer --at-- microsoft --dot-- com
Postal Mail: Microsoft Corporation, One Microsoft Way, Redmond WA, 98052-6399, USA
Tel: (425) 706-3763
Fax: (425) 706-7329 (This is the main MS FAX number so make sure to send documents to my attention)