Eugene Weinstein's Home Page

I have graduated and am currently working for Google. I finished my Ph.D. in the Computer Science Department of the Courant Institute at NYU, working with Prof. Mehryar Mohri. Prior to starting at NYU, I was at MIT for nine years, first as an undergraduate, then as a master's student, and then as a research staff member at the Computer Science and Artificial Intelligence Laboratory (CSAIL).

Contact Info

Email:	my first name + my last initial at-sign cs dot nyu dot edu
Snail-Mail:	Eugene Weinstein Google, Inc. 76 Ninth Ave. New York, NY 10011

Research Interests

• Speech Recognition
• Topic Analysis
• Music Information Retrieval
• Machine Learning
• Automata Theory

Research and Teaching Activities

• I have defended my dissertation! [PDF] [Slides PDF]
• I gave a talk at Columbia's Electrical Engineering Signal and Information Processing Series on Friday, April 3rd, 2009.
• I was the TA for Data Structures, Fall 2008: recitation programs, also linked from class page (click on "Notes and Code")
• I was the TA for Data Structures, Spring 2008: recitation programs, class page.
• I gave a talk at the NYU Music Department's Music Technology Program on April 4th, 2008.
• I was the TA for Intro to Computer Science, Fall 2007: link1, link2.
• I'm running the weekly Machine Learning Seminar at NYU.
• I gave a talk at MIT on Oct 19th, 2007: [Slides PDF].
• Read about a project that I'm working on in the Google Research Blog.
• I passed my depth qualifying exams. Here are my slides: syllabus and research.

Resume

[PDF]

Brief Bio

I am currently at Google New York. In September 2009, I completed my Ph.D. at the Computer Science Department of the Courant Institute at NYU. My primary interests are in machine learning, speech and music recognition, automata theory, and natural language processing. My dissertation research, which combined elements of each of these, was focused on enabling search of large collections of audio data, such as speech and music. I received the M.Eng. and B.S. degrees in Computer Science from MIT in 2001 and 2000, respectively.

Past Projects (at MIT)

• Microphone arrays and beamforming on tiled architectures
• Spoken dialogue system design tools
• Biometric identification technologies (e.g. face and speaker identification)

Publications

• M. Mohri, P. Moreno, and E. Weinstein. Discriminative topic segmentation of text and speech. To appear at the International Conference on Artificial Intelligence and Statistics (AISTATS), Sardinia, Italy, 2010. [PDF]
• M. Mohri, P. Moreno, and E. Weinstein. A new quality measure for topic segmentation of text and speech. Conference of the International Speech Communication Association (Interspeech), Brighton, UK, 2009. [PDF] [Poster PDF]
• M. Mohri, P. Moreno, and E. Weinstein. Efficient and robust music identification with weighted finite-state transducers. IEEE Transactions on Audio, Speech, and Language Processing 18(1), 2010. [PDF]
• M. Mohri, P. Moreno, and E. Weinstein. General Suffix Automaton Construction Algorithm and Space Bounds. Theoretical Computer Science 410(37), 2009. [PDF]
• M. Mohri, P. Moreno, and E. Weinstein. Robust music identification, detection, and analysis. International Conference on Music Information Retrieval (ISMIR), September 2007, Vienna, Austria. [PDF] [Poster PDF].
• M. Mohri, P. Moreno, and E. Weinstein, Factor Automata of Automata and Applications. International Conference on Implementation and Application of Automata (CIAA), July 2007, Prague, Czech Republic. [PDF] [Slides PDF]
• E. Weinstein, K. Steele, A. Agarwal, and J. Glass, LOUD: A 1020-Node Microphone Array and Acoustic Beamformer. International Congress on Sound and Vibration (ICSV), July 2007, Cairns, Australia. [PDF] [Slides PDF]
• E. Weinstein and P. Moreno. Music Identification with Weighted Finite-State Transducers. International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2007, April 2007, Honolulu, Hawaii [PDF].
• T. J. Hazen, E. Weinstein, B. Heisele, A. Park, and J. Ming. Multi-Modal Face and Speaker Identication for Mobile Devices. In R. I. Hammoud, B. Abidi, and M. Abidi, eds., Face Biometrics for Personal Identification: Multi-Sensory Multi-Modal Systems, Springer-Verlag, Heidelberg, Germany, April 2007. [PDF]
• E. Weinstein, K. Steele, A. Agarwal, and J. Glass. LOUD: A 1020-Node Modular Microphone Array and Beamformer for Intelligent Computing Spaces. MIT/LCS Technical Memo MIT-LCS-TM-642, April, 2004 [PDF].
• J. Glass, E. Weinstein, S. Cyphers, J. Polifroni, G. Chung, and M. Nakano. A Framework for Developing Conversational User Interfaces. In Proceedings, Computer-Aided Design of User Interfaces (CADUI) 2004, January 2004, pp. 347-358, Funchal, Isle of Madeira, Portugal. [PDF] [PS] [PPT slides]
• T. Hazen, E. Weinstein, R. Kabir, A. Park, and B. Heisele. Multi-Modal Face and Speaker Identification on a Handheld Device. In Proceedings, Workshop on Multimodal User Authentication (MMUA) 2003, pp. 113-120, December 2003, Santa Barbara, CA, USA. [PDF] [PS]
• T. Hazen, E. Weinstein, and A. Park. Towards Robust Person Recognition On Handheld Devices Using Face and Speaker Identification Technologies. In Proceedings, International Conference on Multimodal Interfaces (ICMI) 2003, November 2003, Vancouver, BC, Canada. [PDF]
• E. Weinstein, P. Ho, B. Heisele, T. Poggio, K. Steele, and A. Agarwal. Handheld Face Identification Technology in a Pervasive Computing Environment. in Short Paper Proceedings, International Conference on Pervasive Computing (Pervasive) 2002, pp. 48-54, August 2002, Zurich, Switzerland. [PS] [PDF] [CiteSeer]
• J. Glass and E. Weinstein. SPEECHBUILDER: Facilitating Spoken Dialogue Systems Development. In Proceedings, European Conference on Speech Communication and Technology (Eurospeech) 2001, pp. 1335-1338, September 2001, Aalborg, Denmark. [PDF] [CiteSeer]
• E. Weinstein. SpeechBuilder: Facilitating Spoken Dialogue System Development. M.Eng. thesis, MIT Department of Electrical Engineering and Computer Science, May 2001. [Gzipped PS] [PDF] [CiteSeer]

Presentations

• Summary of Support Vector Method for Novelty Detection (Scholkopf et al., NIPS 2000)[PDF]
• Introduction to Topic Models [PDF]
• Summary of Discriminative Log-Linear Grammars with Latent Variables, Petrov and Klein (NIPS 2007) [PDF]
• Summary of Search-based Structured Prediction, by Hal Daume, John Langford, and Daniel Marcu (submitted to Machine Learning) [PDF]
• Summary of "Discriminative Training of Decoding Graphs for Large Vocabulary Continuous Speech Recognition", by Kuo, Kingsbury, and Zweig, ICASSP, 2007. [PDF]
• Summary of "Discriminative Log-Linear Grammars with Latent Variables", by Slav Petrov and Dan Klein, NIPS, 2007. [PDF]
• Summary of "Search-Based Structured Prediction", by Hal Daume et al, Submitted to Machine Learning, 2007. [PDF]
• Summary of "Support Vector Machine Learning for Interdependent and Structured Output Spaces", by Ioannis Tsochantaridis et al, ICML, 2004. [PDF]
• Summary of "Large Margin Training of Continuous-density Hidden Markov Models," Fei Sha and Lawrence Saul, NIPS 2006 [PDF]
• Expectation-Maximization algorithm and applications [PDF]
• Survey of Query-by-Humming (QBH) [PDF]
• Summary of "Computer Vision for Music Identification," Y. Ke, D. Hoiem, R. Sukthankar, Computer Vision and Pattern Recognition (CVPR), 2005 [PDF]
• Summary of "Robust Real-Time Face Detection," P. Viola and M. Jones, International Journal of Computer Vision 57(2), 2004 [PDF]
• Summary of "The Population Frequencies of Species and the Estimation of Population Parameters," I. J. Good, Biometrika, Vol. 40, No. 3/4. (Dec., 1953), pp. 237-264. [PDF]

Links

• My Mom's home page. She's a math teacher in Cleveland, Ohio.

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