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Andreas Stolcke

Senior Research Engineer

Contact Information

I am no longer with SRI and have joined the Speech and Dialog Research Group at Microsoft Research. I am also affiliated with the International Computer Science Institute in Berkeley.

For current information please check here or email .

For all SRILM-related matters please contact .

For all other SRI-related matters please contact .

Research Interests

Speech recognition, speaker and language recognition, language and phonetic modeling, computational linguistics, machine learning, connectionist models

Projects

Recent projects include:
GALE, Speaker recognition, Meeting recognition and understanding, Prosody for dialog systems

Past projects:
Large vocabulary recognition, Speech in Noisy Environments, Hidden Word-Level Events in Spontaneous Speech, Information Extraction from Speech

Software

SRI Language Modeling Toolkit NEW! Version 1.7.1 released
MetaDB - A simple configuration file parser

Education

Ph.D., Computer Science, University of California at Berkeley, 1994
Thesis: Bayesian Learning of Probabilistic Language Models (title page only, abstract only)

Research Assistant and Postdoctoral Researcher, International Computer Science Institute, 1989-1994

Diplom, Computer Science, Technische Universität München, 1988
Thesis (in German): Generation of natural language sentences in unification-based grammars -- A connectionist approach

A short NSF-style bio can be found here.

Professional Activities

Fellow, The Institute of Electrical and Electronics Engineers (IEEE).

Most recently, co-organized workshop on New Tools and Methods for Very-Large-Scale Phonetics Research.

For professional activities and past affiliations see here.

Publications

Microsoft Academic Search author page

Google Scholar citations page

Browse a list of publications by research topics or a list of papers with abstracts from the STAR database. Some representative publications are listed below:

A. Stolcke (1995), An Efficient Probabilistic Context-Free Parsing Algorithm that Computes Prefix Probabilities. Computational Linguistics 21(2), 165-201. (HTML, PDF)

A. Stolcke, K. Ries, N. Coccaro, E. Shriberg, R. Bates, D. Jurafsky, P. Taylor, R. Martin, C. Van Ess-Dykema, & M. Meteer (2000), Dialogue Act Modeling for Automatic Tagging and Recognition of Conversational Speech, Computational Linguistics 26(3), 339-373. (PDF)

E. Shriberg, A. Stolcke, D. Hakkani-Tur, & G. Tur (2000), Prosody-Based Automatic Segmentation of Speech into Sentences and Topics, Speech Communication 32(1-2), 127-154 (Special Issue on Accessing Information in Spoken Audio). (PDF)

L. Mangu, E. Brill, & A. Stolcke (2000), Finding consensus in speech recognition: word error minimization and other applications of confusion networks, Computer Speech and Language 14(4), 373-400. (PDF)

A. Stolcke (2002), SRILM -- An Extensible Language Modeling Toolkit. Proc. Intl. Conf. on Spoken Language Processing, vol. 2, pp. 901-904, Denver. (PDF)

A. Stolcke, X. Anguera, K. Boakye, O. Cetin, F. Grezl, A. Janin, A. Mandal, B. Peskin, C. Wooters, & J. Zheng (2005), Further Progress in Meeting Recognition: The ICSI-SRI Spring 2005 Speech-to-Text Evaluation System. In Machine Learning for Multimodal Interaction: Second International Workshop, MLMI 2005, Springer Lecture Notes in Computer Science Series, Volume 3869, S. Renals and S. Bengio, editors, pp. 463-475. © 2006 Springer-Verlag.

A. Stolcke, S. Kajarekar, L. Ferrer, & E. Shriberg (2007), Speaker Recognition with Session Variability Normalization Based on MLLR Adaptation Transforms, IEEE Transactions on Audio, Speech, and Language Processing, 15(7), 1987-1998, Special issue on speaker and language recognition. (PDF, abstract)

 

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