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CLSP Member Publications Friday, May 9, 2008
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  • A
  • A. Apsel and A.G. Andreou, 5mW, Gbit/s silicon on sapphire CMOS optical receiver. IEE Electronics Letters, Vol. 37, No. 19, pp. 1186-1188, 2001
  • Aijun, L., Zheng, T.F., Byrne, W., Fung, P., Kamm, T., Lui, Y., Song, Z., Ruhi, U., Venkataramani, V. and XiaoXia, C., CASS: A Phonetically Transcribed Corpus Of Mandarin Spontaneous Speech. In Proceedings of ICSLP 2000, Beijing, China, 2000
  • Andreou A.G., Z.K. Kalayjian, A. Apsel, P.O. Pouliquen, R.A. Athale, G. Simonis and R. Reedy, Silicon on sapphire CMOS for optoelectronic microsystems. IEEE Circuits and Systems Magazine, Vol. 1, No. 3, pp. 22-30, 2001
  • Andreou, A.G. and Neti, C., Some Experiments with Neuromorphic Speech Processing on Switchboard Data. DoD Workshop: Frontiers in Speech Processing II, Rutgers University, Piscataway, NJ, July 5 - August 12, 1994, 1994
  • Andreou, A.G., Cohen, J., and Kamm, T., An Experiment in Systematic Speaker Variability. DoD Workshop: Frontiers in Speech Processing II, Rutgers University, Piscataway, NJ, July 5 - August 12, 1994, 1994
  • B
  • Beyerlein, Byrne, Huerta, Khudanpur, Morgan, Peterek, Picone, Martha, Wang, Towards Language Independent Acoustic Modeling. IEEE Workshop on Automatic Speech Recognition and Understanding, Colorado, December 1999, 1999
  • Boatman, D., Cortical Representation of Speech Perception and Procduction, as Revealed by Direct Cortical Electrical Interference. Proceedings of the Third International Conference on Spoken Language Processing, Yokohama, Japan, September 1994, 1994
  • Boatman, D., Gordon, B., Stone, M., and Anderson, S., Studies of Articulatory Timing in Normal and Foreign Accent Syndrome Speech. Brain and Language, Vol 47, Oct 1994, pp. 548-552, 1994
  • Boatman, D., Stone, M., Booth, V., and Anderson, S., Intra-Syllabic Articulatory Timing Relations, as Revealed by Studies of Normal and Disordered Speech. Proceedings of the Fourteenth Annual Speech Research Symposium, Baltimore, MD June 22-23, 1994, 1994
  • Bocchieri, E., Digalakis, V., Corduneanu, A., and Boulis, C., Correlation Modeling of MLLR Transform Biases for Rapid HMM Adaptation to New Speakers. 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing, Phoenix, Arizona, March 15-19, 1999, Vol. II, p.p. 773-766, 1999
  • Brent, M. and Cartwright, T., Lexical categorization: Fitting template grammars by incremental MDL optimization. In Miclet,L., and de la Higuera,C. (Eds.). Grammatical Inference: Learning Syntax from Sentences. September 1996, 1996
  • Brent, M. and Cartwright, T., Distributional Regularity and Phonotactic Constraints are Useful for Segmentation. Cognition, v.6, pp. 93-125, 2000
  • Brill, E., Machine Learning and Automatic Linguistic Analysis: The Next Step. Proceedings of the International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. , Seattle, Washington, 1998, 1998
  • Brill, E., Tagging Unknown Words. In Syntactic Wordclass Tagging, Hans van Halterten, ed. Kluwer Academic Press. 1998, 1998
  • Brill, E., Corpus-Based Rule Acquisition. In Syntactic Wordclass Tagging, Hans van Halterten, ed. Kluwer Academic Press. 1998, 1998
  • Brill, E., Lexical Disambiguation. The Handbook of Natural Language Processing, Rob Dale and Hermann Moisl, eds. Marcel Dekker. 1998, 1998
  • Brill, E., Learning to Parse with Transformations. Recent Advances in Parsing Technology, Harry Bunt and Masaru Tomita, Eds. Kluwer Academic Press. 1996, 1996
  • Brill, E., Transformation-Based Error-Driven Learning and Natural Language Processing: A Case Study in Part of Speech Tagging. Computational Linguistics, Vol. 21, No. 4, pp. 543-565, December 1995, 1995
  • Brill, E., Unsupervised Learning of Disambiguation Rules for Part of Speech Tagging. Proceedings of the Third Association for Computational Linguistics Workshop on Very Large Corpora, Cambridge, MA, pp. 1-13, 1995, 1995
  • Brill, E., Some Advances in Rule-Based Part of Speech Tagging. Proceedings of the Twelfth National Conference on Artificial Intelligence (AAAI), Seattle, Washington. 1994, 1994
  • Brill, E., A Report of Recent Progress in Transformation-Based Error-Driven Learning. Proceedings from the ARPA Workshop on Human Language Technology. Princeton, NJ. 1994, 1994
  • Brill, E., Part-of-Speech Tagging. The Handbook of Natural Language Processing, Dale, R., Moisl, H., and Somers, H., eds. Marcel Dekker. Inc., 2000
  • Brill, E. and Kapur, S., An Information-Theoretic Approach to Parameter Setting. Papers on Language Acquisition: Cornell Working Papers in Linguistics, CLC Publications. 1997, 1997
  • Brill, E. and Mooney, R., An Overview of Empirical Natural Language Processing. AI Magazine, Winter 1997. Volume 18, Number 4, 1997
  • Brill, E. and Pop, M., Unsupervised Learning of Disambiguation Rules for Part of Speech Tagging. Natural Language Processing Using Very Large Corpora. Kluwer Academic Press. 1997, 1997
  • Brill, E. and Resnik, P., A Transformation-Based Approach to Prepositional Phrase Attachment. Proceedings of The Fifteenth International Conference on Computational Linguistics (COLING), Kyoto, Japan. 1994, 1994
  • Brill, E. and Wu, J., Classifier Combination for Improved Lexical Disambiguation. Proceedings of COLING-ACL'98, Montreal, Canada, pp. 191-195, Vol. I, 1998, 1998
  • Brill, E., Florian, R., Henderson, J., and Mangu, L., Beyond N-Grams: Can Linguistic Sophistication Improve Language Modeling?. Proceedings of COLING/ACL 1998 Conference, Montreal, Canada, pp. 186-190, Vol. I, 1998, 1998 .ps, .pdf
  • Brill, E., Henderson, J., and Wu, J., Combining Classifiers for Lexical Disambiguation. Technical Report, Dept. of Computer Science, Johns Hopkins University. 1997, 1997
  • Burzio, L., Anatomy of a Generalization. Syntactic and Functional Explorations: In Honor of Susumu Kuno, Ken-ichi Takami, Akio Kamio and John Whitman, eds. Kurosio Publishers, Tokyo., 2000
  • Byrne WJ, Hajic J, Krbec P, Ircing P, Psutka J, Morpheme Based Language Models for Speech Recognition of Czech. In: Sojka, et al. Proceedings of the Third International Workshop on Text Speech and Dialogue 2000, Brno, Czech Republic, 2000
  • Byrne, Beyerlein, Huerta, Khudanpur, Morgan, Peterek, Picone, Martha Vergyri, Wang, Towards Language Independent Acoustic Modeling. ICASSP 2000, June 2000, 2000
  • Byrne, W., Information Geometry and Maximum Likelihood Criteria. Proceedings of the Conference on Information Sciences and Systems, Princeton, 1996, 1996
  • Byrne, W. and Gunawardana, A., Discounted Likelihood Linear Regression for Rapid Adaptation. submitted to EuroSpeech'99, Budapest, Hungary, 1999 .ps, .pdf
  • Byrne, W. and Shamma, S., Neurocontrol in Sequence Recognition. Progress in Neural Networks: Neural Networks for Control, ed. Omid Omidvar and D. Elliott, Academic Press, 1997, 1997
  • Byrne, W., Finke, M., Khudanpur, S., McDonough, J., Nock, H., Riley, M., Saraclar, M., Wooters, C. and Zavaliagkos, G., Pronunciation Modelling Using a Hand-Labelled Corpus for Conversational Speech Recognition. IEEE International Conference on Acoustics, Speech and Signal Processing, Seattle, WA, 1998, 1998
  • Byrne, W., Gunawardana, A., and Khudanpur, S., Information Geometry and EM Variants. in the Proceedings of the Hub-5 Conversational Speech Recognition Workshop, Linthicum Heights, MD, November 4-6, 1997, 1997
  • Byrne, W., Gunawardana, A., and Khudanpur, S., Comments on Efficient Training Algorithms for HMMs Using Incremental Estimation. IEEE Transactions on Speech and Audio Processing, Vol. 8, No. 6, pp. 751-754., 2000
  • Byrne, W., Hajic, J., Ircing, P., Jelinek, F., Khudanpur, S., McDonough, J., Peterek, N., Psutka, J., Large Vocabulary Speech Recognition for Read and Broadcast Czech. accepted to TSD'99, Marienbad, Czech Republic, 1999
  • Byrne, W., Khudanpur, S., and Saraclar, M., A Pronunciation Modeling Update from CLSP. in the Proceedings of the Hub-5 Conversational Speech Recognition Workshop, Linthicum Heights, MD, November 4-6, 1997, 1997
  • Byrne, W., Khudanpur, S., Knodt, E., and Bernstein, J., Is automatic speech recognition ready for non-native speech? A data collection effort and initial experiments in modeling conversational Hispanic English. Proceedings of the Speech Technology in Language Learning, Stockholm, June 1998, 1998
  • Byrne, W., Khudanpur, S., Saraclar, M., et al., Pronunciation Modeling for Conversational Speech Recognition - A Status Report from WS97. in the Proceedings of the IEEE Workshop on Automatic Speech Recognition and Understanding, Santa Barbara, CA, pp. 26-33, 1997, 1997
  • Byrne, W., Venkataramani, V., Kamm, T., Zheng, T.F., Song, Z., Fung, P., Lui, Y., Ruhi, U., Automatic generation of pronunciation lexicons for Mandarin spontaneous speech. Proceedings of ICASSP 2001, Vol. 1, pp 569 -572, 2001
  • C
  • Cauwenberghs, G., Adaptation, Learning and Memory in Analog VLSI. in Proceedings of the Ninth Annual IEEE International ASIC Conference, Rochester NY, pp. 273-278, September 1996, 1996
  • Cauwenberghs, G., An Analog VLSI Recurrent Neural Network Learning a Continuous-Time Trajectory. IEEE Trans. Neural Networks, vol. 7 (2), pp. 346-361, March 1996, 1996
  • Cauwenberghs, G. and Temes, G.C., Adaptive Digital Correction of Analog Errors in MASH ADCs - Part I > Off-Line and Blind On-Line Calibration. IEEE Trans. Circuts and Systems II: Analog and Digital Signal Processing vol. 47 (7), pp. 621-628, 2000
  • Chakrabartty , S. and G. Cauwenberghs, Forward Decoding Kernel Machines: A Hybrid HMM/SVM Approach to Sequence Recognition. Proc. SVM2002, Lecture Notes in Computer Science, Niagara Falls ON, 2002
  • Chelba, C., Exploiting Syntactic Structure for Language Modeling. Proceedings of the Hub-5 Conversational Speech recognition (LVCSR) Workshop, Linthicum, Maryland, September 24-25, 1998, 1998
  • Chelba, C., A Structured Language Model. in the Proceedings of the Annual Meeting of the Association for Computational Linguistics and Conference of the European Chapter of the Association for Computational Linguistics, in Madrid Spain, July 7-12, 1997, 1997 .ps, .pdf
  • Chelba, C. and Jelinek, F., Structured Language Modeling for Speech Recognition. NLDB, 1999, 1999 .ps, .pdf
  • Chelba, C. and Jelinek, F., Recognition Performance of a Structured Language Model. Eurospeech 1999, 1999 .ps, .pdf
  • Chelba, C. and Jelinek, F., Refinement of a Structured Language Model. Proceedings of ICAPR-98, Plymouth, England, pp. 225-231, vol. 1., 1998, 1998 .ps, .pdf
  • Chelba, C. and Jelinek, F., Exploiting Syntactic Structure for Language Modeling. Proceedings of COLING-ACL'98, Montreal, Canada, pp. 225-231, vol. 1., 1998, 1998
  • Chelba, C. and Jelinek, F., Structured Language Modeling for Speech Recognition. Computer, Speech & Language, 14. (4), 283-332, 2000
  • Chelba, C. and Xu, P., Richer Syntactic Dependencies for Structured Language Modeling. Proc. IEEE Workshop Automatic Speech Recognition and Understanding, 2000
  • Chelba, C., Jelinek, F., Khudanpur, S., et al., Structure and Performance of a Dependency Language Model. in the Proceedings of the Fifth European Conference on Speech Communication and Technology (EuroSpeech'97), in Rhodes Greece, September 22 - 25, 1997, p.p. 2775-2778, 1997 .ps, .pdf
  • Cohen, M.H. and Andreou, A.G., Analog CMOS integration and experimentation with an autoadaptive independent component analyzer. IEEE Transactions on Circuits and Systems: Part II: Analog and Digital Signal Processing, Vol. 42, No 2, pp. 65-77, February 1995, 1995
  • Cucerzan, S. and D. Yarowsky, Language independent minimally supervised induction of lexical probabilities. Proceedings of ACL-2000, Hong Kong, pages 270-277, 2000
  • Cucerzan, S. and Yarowsky, D., Augmented Mixture Models for Lexical Disambiguation. Proceedings of the 2002 Conference on EMNLP, Philadelpia, 2002
  • Cucerzan, S. and Yarowsky, D., Language Independent NER using a Unified Model of Internal and Contextual Evidence. Proceedings of the Sixth Conference on Natural Language Learning, Taipei, pp. 171-174, 2002
  • Cucerzan, S. and Yarowsky, D., Bootstrapping a Multilingual Part-of-speech Tagger in One Person-day. Proceedings of the Sixth Conference on Natural Language Learning, Taipei, pp. 132-138, 2002
  • D
  • D. Vergyri, S. Tsakalidis, W. Byrne, Minimum risk acoustic clustering for multilingual acoustic model combination. ICSLP 2000, October 2000, 2000
  • Delcher, A., Grove, A., Kasif, S., and Pearl, J., Logarithmic-Time Updates and Queries in Probabilistic Networks. Journal of Artificial Intelligence, v.4, pp. 37-59, 2000
  • Delcher, A., Kasif, S., Goldberg, H., and Hsu, W., Protein Secondary Structure Modelling with Probabilistic Networks. Proceedings First International Conference on Intelligent Systems for Molecular Biology, National Library of Medicine, Bethesda, MD, July 6-9, 1993, 1993
  • Dharanipragada, S., Jelinek, F., and Khudanpur, S., Language Model Adaptation using the Minimum Divergence Principle. in the Prceedings of the Third LVCSR Summer Research Workshop, Johns Hopkins University, Balitmore, MD, August 1995, 1995
  • Digalakis, V., Berkowitz, S., Bocchieri, E., Boulis, C., Byrne, W., Collier, H., Corduneanu, A., Kannan, A., Khudanpur, S., and Sankar, A., Rapid Speech Recognizer Adaptation to New Speakers. 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing, Phoenix, Arizona, March 15-19, 1999, Vol. II, pp. 765-768, 1999
  • Dobkin, D., Fulton, T., Gunopulos, D., Kasif, S., and Salzberg, S., Induction of shallow decision trees. submitted to IEEE PAMI, 2000
  • Doddington, G., Liggett, W., Martin, A., Przybocki, M., and Reynolds, D., SHEEP, GOATS, LAMBS, and WOLVES: A Statistical Analysis of Speaker Performance in the NIST 1998 Speaker Recognition Evaluation. Proceedings of ICSLP '98, 1998
  • E
  • E. Brill, J. Henderson and G. Ngai, Automatic Grammar Induction: Combining, Reducing and Doing Nothing. International Workshop on Parsing Technology, 2000
  • Edwards, R.T. and Cauwenberghs, G., Oversampling Architecture for Analog Harmonic Modulation. IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, vol. 43 (8), pp. 696-698, August 1996, 1996
  • Edwards, R.T., Cauwenberghs, G., and Pineda, F.J., A Mixed-Signal Correlator for Acoustic Transient Classification. IEEE International Symposium on Circuits and Systems (ISCAS'97), Hong Kong, June 1997, vol. I, pp. 621-624, 1997
  • Eisner, J., Bilexical grammars and their cubic-time parsing algorithms. In Harry Bunt and Anton Nijholt (eds.), Advances in Probabilistic and Other Parsing Technologies, Kluwer, 2000
  • Eisner, J., Review of Optimality Theory, by Ren Kager. Computational Linguistics 26(2), 2000
  • Eisner, J., Introduction to the special section on linguistically apt statistical methods. Cognitive Science 26(3), 2002
  • Eisner, J., Discovering syntactic deep structure via Bayesian statistics. Cognitive Science 26(3), 2002
  • Eisner, J., Transformational priors over grammars. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), Philadelphia, 2002
  • Eisner, J., Parameter estimation for probabilistic finite-state transducers. Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics, Philadelphia, 2002
  • Eisner, J., Comprehension and compilation in Optimality Theory. Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics, Philadelphia, 2002
  • Eisner, J., An interactive spreadsheet for teaching the forward-backward algorithm. Proceedings of the ACL Workshop on Effective Tools and Methodologies for Teaching NLP and CL, Philadelphia, 2002
  • Eisner, J., Expectation Semirings: Flexible EM for Finite-State Transducers. Proceedings of the ESSLLI Workshop on Finite-State Methods in NLP (FSMNLP), Helsinki, 2001
  • Eisner, J., Easy and hard constraint ranking in Optimality Theory. Finite-State Phonology: Proceedings of the Fifth SIGPHON Workshop, Luxembourg, 2000
  • Eisner, J., Directional constraint evaluation in Optimality Theory. Proceedings of COLING-2000, Saarbrcken, Germany, 2000
  • Eric Breck, Marc Light, Gideon S. Mann, Ellen Riloff, Brianne Brown, Pranav Anand, Mats Rooth, Michael Thelen, Looking Under the Hood: Tools for Diagnosing Your Question Answering Engine. Workshop on Question Answering, ACL 2001, 2001
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  • F. Zheng, Z. Song, P. Fung, and W. Byrne., Mandarin Pronunciation Modeling Based on the CASS Corpus. Journal of Computer Science and Technology (Science Pres, Beijing, China), vol 17, no 3, 2002
  • Florian, R, Named Entity Recognition as a House of Cards: Classifier Stacking. In Proceedings of CoNLL 2002, Taipei, Taiwan, 2002
  • Florian, R. and Ngai, G., Multidimensional Transformation-Based Learning. In Proceedings of CONLL 2001, Toulouse, France, 2001
  • Florian, R. and Yarowsky, D., Dynamic Nonlocal Language Modeling via Hierarchical Topic-Based Adaptation. ACL, 1999, 1999
  • Florian, R. and Yarowsky, D., Modeling Consensus: Classifier Combination for Word Sense Disambiguation.. In Proceedings of EMNLP 2002, Philadelphia, PA, USA, 2002
  • Florian, R., Henderson, J. and Ngai, G., Coaxing Confidence from an Old Friend: Probabilistic Classifications from Transformation Rule Lists. Proceedings of The Joint SIGDAT Conference on Empirical Methods in NLP and Very Large Corpora, pages 26-34, 2000
  • Fosler, E., Automatic Learning of a Model for Word Pronunciation: Status Report. Proceedings of the LVCSR-Hub5 Workshop, May 1997, 1997
  • Fosler, E., Weintraub, M., Wegmann, S., Kao, Y-H., Khudanpur, S., Galles, C., and Saraclar, M., Automatic Learning of Word Pronunciation from Data. in the Proceedings Addendum of the Int'l Conference on Spoken Language Processing, Philadelphia, PA, pp.28-29, October 1996, 1996
  • Franck, K., Miller, R., Schilling, J., and Young, E., Auditory Nerve Responses to Speech Sounds in Partially Deafened Cats. M.S.E. Thesis, Johns Hopkins University, 1994, 1994
  • Frank, R., Phrase Structure Composition and Syntactic Dependencies. MIT Press: Cambridge, Mass, 2002
  • Fulton, T., Kasif, S., and Salzberg, S., Efficient Algorithms for Finding Multi-way Splits for Decision Trees. The XII International Conference on Machine Learning, Tahoe City, CA, July 9-12, 1995, 1995
  • Furth, P., Andreou, A.G., Kumar, N., and Goldstein, M., Experiments with the Hopkins Electronic EAR. Proceedings of the Fourteenth Annual Speech Research Symposium, Baltimore, MD, June 22-23, 1994, pp. 183-9, 1994
  • Furth, P.M. and Andreou, A.G., Linearised differential transconductors in subthreshold CMOS. IEEE Electronics Letters, Vol. 31, No 7, pp. 545-547, March 1995, 1995
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  • Gale, W., Church, K., and Yarowsky, D., Discrimination Decisions for 100,000 Dimensional Spaces. Annals of Operations Research, 55, 323-344, 1995, 1995
  • Genov R., and G. Cauwenberghs, Charge-Mode Parallel Architecture for Matrix-Vector Multiplication. IEEE Trans. Circuits and Systems II: Analog and Digital Signal Processing, vol. 48 (10), pp. 930-936, 2001
  • Glotin, H.,Vergyri, D., Neti, C., Potamianos, G. and Luettin, J., Weighting Schemes for Audio-Visual Fusion in Speech Recognition. In Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Salt Lake City, Utah, 2001
  • Goel, V. and Byrne, W., Task Dependent Loss Functions in Speech Recognition: Application to Named Entity Extraction. submitted to ESCA ETRW '99, 1999 .ps, .pdf
  • Goel, V. and Byrne, W., Task Dependent Loss Functions in Speech Recognition: A* Search Over Recognition Lattices. submitted to Eurospeech '99, 1999
  • Goel, V. and W. Byrne, Minimum Bayes-Risk Automatic Speech Recognition. Computer Speech and Language, Vol 14(2), 2000
  • Goel, V., Byrne, W., and Khudanpur, S., LVCSR Rescoring With Modified Loss Functions: A Decision Theoretic Perspective. ICASSP'98 Conference Proceedings, Vol. I, pp. 425-428, Seattle, WA, 1998, 1998 .ps, .pdf
  • Goel, V., Kumar, S. and Byrne, W., Confidence Based Lattice Segmentation and Minimum Bayes-Risk Decoding. Proceedings of Eurospeech 2001, Aalborg, Denmark, 2001
  • Goel, V., Ordowski, M., et al., Syllable - A Promising Recognition Unit for LVCSR. in the Proceedings of the IEEE Workshop on Automatic Speech Recognition and Understanding, Santa Barbara, CA, pp. 207-214, 1997, 1997
  • Goldberg, D.H., G.C. Cauwenberghs and A.G. Andreou, Probabilistic synaptic weighting in a reconfigurable network of VLSI integrate-and-fire neurons. Neural Networks, Vol. 14, No. 6-7, pp. 781-793, 2001
  • Goldstein, M. H. Jr., Deafness: Defect or Culture? To Sign or not to Sign. interviewed by Leonard Laster for MD Magazine, January 1994, 1994
  • Goldstein, M. H. Jr., Auditory Periphery as a Speech Signal Processor. IEEE Engineering in Medicine and Biology Magazine, April/May 1994, 1994
  • Goldstein, M. H. Jr., Ears for the Deaf - A letter to the Editor. , Hopkins Medical News, Winter 1994, 1994
  • Goldstein, Moise H. Jr., Deafness: Defect or Culture? An interview with Johns Hopkins bioengineer Moise Goldstein. interviewed by Leonard Laster. Deaf Life, May 1994. (Reprinted from MD Magazine , January 1994. This interview was also reprinted in Monthly Communicator, the newsletter of the Department of Human Services, Division of the Deaf and Hard of Hearing,, 1994
  • Gunawardana, A. and Byrne, W., Convergence of EM Variants. Proceedings of the 1999 Information Theory Workshop on Detection, Estimation, Classification and Imaging, Santa Fe, NM, February 24-26, 1999, p. 64, 1999 .ps, .pdf
  • Gunawardana, A. and Byrne, W., Discounted Likelihood Linear Regression for Rapid Speaker Adaptation. Computer Speech and Language, 2001
  • Gunawardana, A. and Byrne, W., Discriminative Speaker Adaptation with Conditional Maximum Likelihood Linear Regression. Proceedings of Eurospeech 2001, Aalborg, Denmark, 2001
  • Gunawardana, A. and Byrne, W., Robust Estimation For Rapid Speaker Adaptation Using Discounted Likelihood. IEEE International Conference on Acoustics, Speech, and Signal Processing. 2;989-992., 2000
  • Gunawardana, A., and Byrne, W., Convergence of DLLR Rapid Speaker Adaptation Algorithms. Proceedings of Isca ITR-Workshop 2001 on Adaptation Methods for Speech Recognition, Sophia-Antipolis, France, 2001
  • Gunawardana, A., Hon, H., and Jiang, L., Word-Based Acoustic Confidence Measures for Large-Vocabulary Speech Recognition. Proceedings of ICSLP-98, Sydney, Australia, Vol. 3, p.p. 791-794, 1998 .ps, .pdf
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  • Hajic, J., Brill, E., Collins, M., Hladka, B., Jones, D., Kuo, C., Ramshaw, L., Schwartz, O., Tillmann, C., and Zeman, D., Core Natural Language Processing Technology Applicable to Multiple Languages (Summary.). in: Prague Bulletin of Mathematical Linguistics, vol. 70. Institute of Formal and Applied Linguistics MFF UK. Prague. 1999, 1999
  • He, K. and Cauwenberghs, G., Intergrated 64-state Parallel Analog Viterbi Decoder. Proc. IEEE International Symposium on Circuits and Systems (ISCAS 2000), Geneva, Switzerland, 2000
  • Heinz, M.G., Goldstein, M.H. Jr., Formby, C., and Forrest, T.G.., Temporal gap detection thresholds in sinusoidal markers simulated with a multi-channel, multi-resolution cochlear model. Journal of the Acoustical Society of America, June 1994, 1994
  • Hughes, R., Buttler, W., Kwiat, P., Luther, G., Morgan, G., Nordholt, J., Peterson, C., and Simmons, C., Secure communications using quantum cryptography. Photonic Quantum Computing, Orlando, FL, April 23-24, 1997, 1997
  • J
  • Jelinek, F., Statistical Methods for Speech Recognition. MIT Press: Cambridge 1998, 1998
  • Jelinek, F., Statistical Methods of Natural Language Processing. In the Proceedings of the Workshop on Multilingual Information Management: Current Levels and Future Abilities, sponsored by NSF held in conjunction with the First International Conference on Language Resources and Evaluation (EMNLP3), pp. 54-55, Granada, 1998
  • Jelinek, F., Speech Recognition Workshops on Speech and Language. Proceedings of Broadcast News Transcription and Understanding Workshop, Lansdowne, VA, pp. 295-300, February 1998, 1998
  • Jelinek, F., Workshop 1998 Planning. in the Proceedings of the Hub-5 Conversational Speech Recognition Workshop, Linthicum Heights, MD, November 4-6, 1997, 1997
  • Jelinek, F., Workshops on Large Vocabulary Conversational Speech Recognition at Johns Hopkins. Proc. Addendum of the International Conference on Spoken Language Processing, Philadelphia, PA, pp.32-33, October, 1996, 1996
  • Jelinek, F., Five Speculations (and a Divertimento) on the Themes of H. Bourlard, H. Hermansky, and N. Morgan. Speech Communication. , (Amsterdam: Elsevier Science B.V.), Vol 18, No. 3, pp. 242-246, May 1996, 1996
  • Jelinek, F., DoD Workshops on Conversational Speech Recognition at Johns Hopkins. Proceedings of DARPA Speech Recognition Workshop, Harriman, NY, pp. 148-153, February 1996, 1996
  • Jelinek, F., Direct Parsing of Text. Image Models (and Their Speech Model Cousins), edited by S. E. Levinson and L. Shepp. (New York: Springer-Verlag, 1996), 91-105, 1996
  • Jelinek, F., Two New Approaches to Language Modeling. Speech Recognition & Coding, edited by A.J. Rubio Ayuso and J.M Lopez Soler (Berlin: Springer-Verlag, 1995), 226-239, 1995
  • Jelinek, F., Training and Search Methods for Speech Recognition. in Voice Communication Between Humans and Machines, D. Roe and J. Wilpon, Editors, National Academy Press: Washington DC. pp. 199-214., 1994, 1994
  • Jelinek, F., Stochastic Analysis of Structured Language Modeling. Computational Linguistics, Submitted, 2000
  • Jelinek, F., ASR Problems and Experiments. Speech Transcription Workshop, College Park, MD, 2000
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  • Kalayjian, Z., Andreou, A.G., Wolff, L. B., and Sheppard, N., A polarization contrast retina using patterned iodine-doped PVA film. Proceedings of the 22nd European Conference on Solid-State Circuits, Neufchatel, Switzerland, pp.308-311, 1996, 1996
  • Kamm, T. and Meyer, G.G.L., Selective Sampling of Training Data for Speech Recognition. Proc. Human Language Technology, 2002
  • Kamm, T. and Meyer, G.G.L., Automatic Selection of Transcribed Training Material. Proc. IEEE Workshop Automatic Speech Recognition and Understanding, 2001
  • Kamm, T. M. and G. G. L. Meyer, Automatic Selection of Transcribed Training Material. Proc. IEEE Workshop Automatic Speech Recognition and Understanding, 2001
  • Kamm, T. M. and G. G. L. Meyer, Selective Sampling of Training Data for Speech Recognition. Proc. Human Language Technology, 2002
  • Kamm, T., Andreou, A. G., and Cohen, J., CCR-IDA, Princeton., Vocal Tract Normalization in Speech Recognition: Compensating for Systematic Speaker Variability. Proceedings of the Speech Research Symposium XV, Baltimore, MD, June 12-14, 1995, 1995
  • Kamm, T., Andreou, A. G., and Hermansky, H., Learning the Mel Scale from Speech Corpora. submitted to IEEE Transactions on Speech and Audio, 2000
  • Kannan, A. and Khudanpur, S., Tree-Structured Models of Parameter Dependence for Rapid Adaptation in Large Vocabulary Conversational Speech Recognition. accepted to the 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing, Phoenix, Arizona, March 15-19, 1999, Vol. II, p.p. 769-772, 1999
  • Keilson, S.E., Richards, V.M., Wyman, B.T., and Young, E.D., Pitch-tagged spectral representation in the cochlear nucleus. Proceedings of the Midwinter Res. Meeting of the Assoc. for Research in Otolaryngology, 18:128 (1995), 1995
  • Khudanpur, S. and Kim, W., Using Cross-Language Cues for Story-Specific Language Modeling. Proceedings of ICSLP 2002, Denver, Colorado, 2002
  • Khudanpur, S. and Wu, J., A Maximum Entropy Language Model Integrating N-Grams and Topic Dependencies for Conversational Speech Recognition. submitted to the 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing, Phoenix, Arizona, March 15-19, 1999, p.p. 553-556, 1999
  • Khudanpur, S. and Wu, J., Maximum Entropy Techniques for Exploiting Syntactic, Semantic and Collocational Dependencies in Language Modeling. Computer Speech and Language, pp. 355-372, 2000
  • Kim, W., Khudanpur, S. and Wu, J., Smoothing Issues in the Structured Language Model. Proceedings of Eurospeech 2001, Aalborg, Denmark, 2002
  • Kumar, N. and Andreou, A.G., Generalization of linear discriminant analysis within the maximum likelihood framework. Proceedings of the Joint Statistical Meeting of the American Statistics Association, Chicago, IL, August 4-8, 1996, 1996
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