CIS 788 WI 04 Reading List

Week	Date	Topic	Reading	Presenter(s)	Respondent(s)
1	Jan 8	Overview	[JM] 7.1-7.2 [HLT] Ch 1	Eric	Yipeng, Michael
2	Jan 13	Toolkits	[HTK] 1-3 [SONIC]	Soundar Yang	Sitaram, Tianfang
2	Jan 15	Toolkits	[SONIC] (ctd) [AT\&T] [GMTK]	Yang Ted Michael	Matthew, Laura
3	Jan 20	Toolkits/Feature Extraction	[GMTK] (ctd) [JM] 7.5, [Shire] [Kingsbury], [HH] 10	Michael Yipeng Laura	Soundar, Crystal
4	Jan 27-29	HMM/Acoustic Model/Search	[JM] 4.1-4.2, 7.6-7.7 [Rab]	Sameep Matthew	Michael Anton
5	Feb 3-4**	HMM/Acoustic Model/Search	[Yng] [Myr]	Yang Soundar	Sameep,
6	Feb 10-12	Pronunciation Model	[JM] 4.3-4.4 [Fos]	Sitaram Anton	Laura, Ted
7	Feb 17-19	Language Model	[JM] 6 [Brn] [Jur]	Crystal Tianfang Sameep	Tianfang, Yipeng, Ted, Anton
8-9	Feb 26, Mar 2	Advanced Topics	[CG] [Ros]	Michael Matthew	Sitaram, Yang
9	Mar 4	VoiceXML	[VoiceXML]	Laura Ted	Michael, Crystal

[JM] Jurafsky & Martin, Speech and Language Processing, Prentice Hall, 2000.
[HLT] Cole et al., Survey of the State of the Art in Human Language Technology, 1996.
[HTK] Young et al., The HTK Book, version 3.2.1, December 2002. Full book, Chapters 1-3, 2up
[SONIC] Pellom & Hacioglu, ``Sonic: The University of Colorado Continuous Speech Recognizer,'' Center for Spoken Language Research Technical Report TR-CSLR-2001-01, U. Colorado, 2003 (revised).
[AT&T] Mohri & Riley, ``Weighted Finite-State Transducers in Speech Recognition (Tutorial),'' International Conference on Spoken Language Processing 2002 (ICSLP '02). Denver, Colorado, September 2002. Part 1 Part 2
[GMTK] Bilmes, ``GMTK: The Graphical Models Toolkit Manual,'' October 2002.
[Kingsbury] Kingsbury, B. {\em Perceptually Inspired Signal-processing Strategies for Robust Speech Recognition in Reverberant Environments}, Ph.D. Thesis, U.C. Berkeley, 1998. Chapter 3 (required) Chapter 2 (optional)
[Shire] Shire, M. {\em Discriminant Training of Front-End and Acoustic Modeling Stages to-Heterogeneous Acoustic Environments for Multi-stream Automatic-Speech Recognition}, Ph.D. Thesis, U.C. Berkeley, 2000. Ch. 2.2.
[RJ] Rabiner & Juang, Fundamentals of Speech Recognition, Prentice Hall, Englewood Cliffs, NJ, 1993.
[GM] Gold & Morgan, Speech and Audio Signal Processing, Wiley and Sons, New York, 2000.
[HH] Holmes & Holmes, Speech Synthesis and Recognition, Taylor and Francis, London, 2001.
[Rab] Rabiner, L. ``A tutorial on Hidden Markov Models and Selected Applications in Speech Recognition,'' Proceedings of the IEEE, 1989.
[Yng] Young, et al. ``Token passing: a simple conceptual model for connected speech recognition systems.'' Cambridge University Engineering Department Technical Report TR-38. (http://mi.eng.cam.ac.uk/reports/abstracts/speech/young_tr38.html).
[YngLVR] Young, S. ``Large vocabulary continuous speech recognition: A review,'' In Proceedings of the IEEE Workshop on Automatic Speech Recognition and Understanding, pages 3--28, Snowbird, Utah, December 1995. IEEE. Reprinted in Signal Processing Magazine, 13(5), September 1996.
[Fos] Fosler-Lussier, E. ``A tutorial on pronunciation modeling for large vocabulary speech recognition,'' in Text and Speech Triggered Information Access, Springer-Verlag, 2003.
[Brn] Brown, P., et al, ``Class-based n-gram models of natural language,'' Computational Linguistics, 18 (4), 467479, December, 1992.
[Jur] Jurafsky, D. et al, ``Using a stochastic context-free grammar as a language model for speech recognition'', proceedings of ICASSP 1995.
[Myr] Myrvoll, Tor Andre, ``Adaptation Techniques in Automatic Speech Recognition,'' Telektronikk 99(2), Issue on Spoken Language Technology in Telecommunications, 2003.
[Ros] Rosenfeld, R. ``Two decades of statistical language modeling: Where do we go from here?'' Proceedings of the IEEE, 88(8), 2000.
[VOICEXML] VoiceXML Tutorial
[CG] Chen, S. and Gopalakrishnan, P. ``Clustering via the Bayesian Information Criterion with applications in speech recognition,'' Proceedings of ICASSP, pp 645-648, 1998.