Stanley F. Chen's Cool Home Page

Who Am I?

I am a researcher at the IBM T.J. Watson Research Center. My research interests include automatic speech recognition, applications of automatic speech recognition, and topics that might help me better do automatic speech recognition research. In my spare time, I do research on automatic speech recognition, and collect automatic speech recognition-related action figurines.

I am also an adjunct professor at Columbia University, which is how I am able to maintain my lavish lifestyle in the NY of C! I teach a course on automatic speech recognition along with some of my colleagues at IBM, all of whom I have the utmost respect for.

There are those of you who might notice my E-mail address in plain text above and say to yourselves, Aren't you just asking for lots of spam? To this I say: some of us must step forward with our E-mail addresses so that spammers have somebody to send spam to, so that others may receive less spam.

Teaching

Spring 2016: Speech Recognition

Selected Publications

Stanley F. Chen. Model M Lite: A Fast Class-Based Language Model. Technical Report RC 25631, IBM Research Division, 2016.

Pauline A. Chen (my big sister). The Red Chamber, Knopf, July 2012.

Stanley F. Chen, Abhinav Sethy, Bhuvana Ramabhadran. Pruning Exponential Language Models, In Proceedings of ASRU, 2011.

Stanley F. Chen, Stephen M. Chu. Enhanced Word Classing for Model M, In Proceedings of Interspeech, 2010.

Stanley F. Chen, Lidia Mangu, Bhuvana Ramabhadran, Ruhi Sarikaya, Abhinav Sethy. Scaling Shrinkage-Based Language Models. In Proceedings of ASRU, 2009. Extended version: Scaling Shrinkage-Based Language Models. Technical Report RC 24970, IBM Research Division, 2010.

Stanley F. Chen. Designing a Non-Finite-State Weighted Transducer Toolkit. Technical Report RC 24829, IBM Research Division, 2009.

Stanley F. Chen. Performance Prediction for Exponential Language Models. In Proceedings of NAACL HLT, 2009. (The 2008 technical report below is the extended version of this paper.)

Stanley F. Chen. Shrinking Exponential Language Models. In Proceedings of NAACL HLT, 2009. (The 2008 technical report below is the extended version of this paper.)

Stanley F. Chen. Performance Prediction for Exponential Language Models. Technical Report RC 24671, IBM Research Division, 2008.

Stanley F. Chen and Benoit Maison. Using Place Name Data to Train Language Identification Models, In Proceedings of Eurospeech, 2003.

Stanley F. Chen. Conditional and Joint Models for Grapheme-to-Phoneme Conversion, In Proceedings of Eurospeech, 2003.

Stanley F. Chen. Compiling Large-Context Phonetic Decision Trees into Finite-State Transducers, In Proceedings of Eurospeech, 2003.

Stanley F. Chen and Ronald Rosenfeld. A Survey of Smoothing Techniques for Maximum Entropy Models. IEEE Transactions on Speech and Audio Processing, 8(1):37-50, 2000.

Stanley F. Chen and Ronald Rosenfeld. A Gaussian Prior for Smoothing Maximum Entropy Models. Technical Report CMU-CS-99-108, Computer Science Department, Carnegie Mellon University, 1999. (Superseded by preceding article.)

Adam Kalai, Stanley Chen, Avrim Blum, and Ronald Rosenfeld. On-Line Algorithms for Combining Language Models. In ICASSP-99, Phoenix, Arizona, 1999.

Stanley F. Chen and Ronald Rosenfeld. Efficient Sampling and Feature Selection in Whole Sentence Maximum Entropy Language Models. In ICASSP-99, Phoenix, Arizona, 1999.

Stanley F. Chen and Joshua T. Goodman. An Empirical Study of Smoothing Techniques for Language Modeling. Computer Speech and Language, 13(4):359-393, 1999. (The following technical report is the extended version of this paper.)

Stanley F. Chen and Joshua T. Goodman. An Empirical Study of Smoothing Techniques for Language Modeling. Technical Report TR-10-98, Computer Science Group, Harvard University, 1998.

Stanley F. Chen, Kristie Seymore, and Ronald Rosenfeld. Topic Adaptation for Language Modeling Using Unnormalized Exponential Models. In ICASSP-98, Seattle, Washington, 1998.

Stanley F. Chen, Douglas Beeferman, and Ronald Rosenfeld. Evaluation Metrics for Language Models. In DARPA Broadcast News Transcription and Understanding Workshop, 1998.

Stanley F. Chen. Building Probabilistic Models for Natural Language. Ph.D. thesis. Technical Report TR-02-96, Center for Research in Computing Technology, Harvard University, 1996.

Stanley F. Chen and Joshua T. Goodman. An Empirical Study of Smoothing Techniques for Language Modeling. In Proceedings of the 34th Annual Meeting of the Association for Computational Linguistics, pages 310-318, 1996.

Stanley F. Chen. Bayesian Grammar Induction for Language Modeling. In Proceedings of the 33rd Annual Meeting of the Association for Computational Linguistics, pages 228-235, 1995.

Stanley F. Chen. Aligning Sentences in Bilingual Corpora using Lexical Information. In Proceedings of the 31st Annual Meeting of the Association for Computational Linguistics, pages 9-16, 1993. Extended version: Harvard University technical report TR-12-93.

Stanley F. Chen <stanchen@us.ibm.com>

Last updated: 2016 Dec 07