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Senior Applied Researcher, Microsoft adCenter Labs, previously at Microsoft Research One Microsoft Way, Redmond WA 98052, |
I am currently a member of Microsoft adCenter Labs, the research arm of Microsoft adCenter. Our role is to advance the state-of-the-art in digital advertising technologies through research, breakthrough innovation, rapid prototyping, and large-scale system integration.
Till very recently (July 2006) I was a part of "Knowledge Tools Research" group at Microsoft Research. We used machine learning to demystify complex data sets encountered by people on a daily basis e.g. email, news, etc. Before joining MSR in November 2002, I was at Bell Labs working on speech and speaker recognition in the the now defunct Multimedia Communications Research Laboratory. I got my Ph.D. from Rutgers, The State University of New Jersey. There, I worked at the Center for Advanced Information Processing (CAIP). I got my bachelor's degree from the Indian Institute of Technology-Roorkee (formerly University of Roorkee).
I am a Senior Member of the IEEE. I recently finished my term as Associate Editor for the IEEE Transactions on Speech, Language and Audio Processing.
The overarching theme of my research is to solve problems involving large complex data using machine learning and data mining, to make people more productive, and their lives a bit easier.
Selected Publications:
Advertising
Semidefinite Programming:
Boosting:
Text Mining, Information Organization and Retrieval:
for Mining Document Streams", Arun C. Surendran and Suvrit Sra, ECML/PKDD 2006, Berlin, Germany, Sep 2006.Acoustic Echo Suppression:
Speech Detection:
Bayesian Learning for speech recognition:
“Structural Bayesian Predictive Adaptation of HMMs”, O. Siohan and A. C. Surendran, Workshop on Adaptation, Sophia-Antipolis, France, August 2001
“Hierarchical Bayes Approach to Adapting Delta- and Delta-Delta Cepstra”, A. C. Surendran, ICASSP ’00, pp. 973-976, Istanbul, Turkey, June 2000.
Speaker Verification:
“Speaker Authentication for Business and National Security”, Invited talk at the IEEE Conference on Technologies for Homeland Security, Boston, MA, April 2002.
“Sequential Decisions for Faster and More Flexible Verification”, A. C. Surendran, EUROSPEECH ’01, pp. 763-766, Aalborg, Denmark, September 2001.
“A Priori Threshold Selection Mechanism for Fixed Vocabulary Speaker Verification Systems”, A. C. Surendran and C.-H. Lee, ICSLP ’00, Beijing, China, September 2000.
“Background Model Design for Flexible and Portable Speaker Verification Systems”, O. Siohan, C.-H. Lee, A. C. Surendran and Q. Li, ICASSP '99, pp. 825-828, Phoenix, AZ, 1999.
Neural Networks for model adaptation and novel feature extraction:
“Non-linear Compensation for Stochastic Matching, A. C. Surendran, C.-H. Lee and M. Rahim, IEEE Transactions on Speech and Audio Processing, Vol. 6, No. 7, pp. 643-655, Nov. 1996.
“Towards Knowledge Based Features for Large Vocabulary Automatic Speech Recognition”, B. Launay, O. Siohan, A. C. Surendran and C.-H. Lee, ICASSP ’02, pp. 807-810, Orlando, May 2002.
Microphone arrays:
“Inverse Problems in Microphone Arrays”, A. C. Surendran, in the Handbook of Digital Signal Processing, V. Madisetti, Editor, CRC Press/IEEE Publication, 1997.
“Spatially Selective Sound Capture for Speech and Audio Processing”, J. L. Flanagan, AC. Surendran and E. E. Jan, Speech Communication, Vol. 13, pp. 207-222, 1993.
Last updated: 7/2/08