[Back] [Contents Page]

References

[1] Alpaydin, E., "GAL: Networks That Grow When They Learn And Shrink When They Forget", International Journal Of Pattern Recognition And Artificial Intelligence , 8(1), pp. 391-417, 1994.

[2] Baker, J. K., "The DRAGON System - An Overview", IEEE Trans. On Acoustics, Speech And Signal Processing , vol. ASSP-23, No. 1, pp. 24-29, February 1975.

[3] Bourlard, H., and Wellekens, C. J., "Speech Dynamics And Recurrent Neural Networks", Proc. Of The IEEE Int. Conf. On Acoustics, Speech and Signal Processing , ICASSP '89, pp. 33-36, Glasgow 1989.

[4] Burr, D. J., "Experiments On Neural Net Recognition On Spoken And Written Text", IEEE trans. on Acoustics, Speech and Signal Processing , vol. 36, no. 7, pp. 1162-1168, July 1988.

[5] Cole, R., Fanty, M., Muthusamy, Y., and Gopalakrishnan, M., "Speaker Independent Recognition Of Spoken English Letters", Int. Joint Conf. On Neural Networks , Part 2, pp. 45-51, San Diego 1990.

[6] Cohen, M., Rumelhart, D., Morgan, N., Franco, H., Abrash, V., and Konig, Y. , "Combining Neural Networks And Hidden Markov Models For Continuous Speech Recognition", ARPA Continuous Speech Recognition Workshop , Stanford, California, 1992.

[7] Creaney, M. J., and Gorgui-Naguib, R. N., "A Scaly Neural Network Architecture For Isolated Word Recognition Using The British Telecommunications English Alphabet Database", Proc. Of The IEEE Int. Conf. On Neural Networks , ICNN '93, vol. III, pp. 1644-1649, San Francisco, 1993.

[8] Creaney, M. J., and Gorgui-Naguib, R. N. , "A Scaly Artificial Neural Network Architecture For Speaker Independent Isolated Word Recognition Using Non-Linear Time Alignment", Proc. Of The IEEE Int. Conf. On Neural Networks , ICNN '94, vol. VII, pp. 4431-4436, Orlando, 1994.

[9] Dai, J., MacKenzie, I. G., and Tyler, J. E. M., "Stochastic Modelling Of Temporal Information In Speech For Hidden Markov Models", IEEE Trans. on Speech and Audio Processing , vol. 2, No.1, pp. 102-104, January 1994.
[10] Demichelis, P., Fissore, L., Laface, P., Micca, G., and Piccolo, E., "On The Use Of Neural Networks For Speaker Independent Isolated Word Recognition", Proc. Of The IEEE Int. Conf. On Acoustics, Speech and Signal Processing , ICASSP '89, pp. 314-317, 1989.

[11] Fissore, L., Laface, P., Micca, G., and Pieraccini, R., "Lexical Access To Large Vocabularies For Speech Recognition", IEEE Trans. On Acoustics, Speech and Signal Processing , vol. 37, No. 8, pp. 1197-1213, August 1989.

[12] Franzini, M. A., Witbrock, M. J., and Lee, K., "A Connectionist Approach To Continous Speech Recognition", Proc. Of The IEEE Int. Conf. On Acoustics, Speech and Signal Processing , ICASSP '89, pp. 425-428, 1989.

[13] Gauvain, J.-L., and Mariani, J., "Evaluation Of Time Compression For Connected Word Recognition", Proc. Of The IEEE Int. Conf. On Acoustics, Speech and Signal Processing , ICASSP '84, Vol. 3, pp. 1-35, 1984.

[14] Gallant, S., "Perceptron-Based Learning Algorithms", IEEE Trans. on Neural Networks, vol. 1, No.2, pp. 179-191, June 1990.

[15] Hampshire, J. B., and Waibel, A. H., "A Novel Objective Function For Improved Phoneme Recognition Using Time Delay Neural Networks", IEEE Trans. on Neural Networks , vol. 1, No.2, pp. 216-228, June 1990.

[16] Harrison, T. D., and Fallside, F., ""A Connectionist Model For Phoneme Recognition In Continuous Speech", Proc. Of The IEEE Int. Conf. On Acoustics, Speech and Signal Processing , ICASSP '89, pp. 417- 420, Glasgow 1989.

[17] Hebb, D. O., "The Organization Of Behaviour", John Wiley & Sons, New York 1949.

[18] Hochberg, M. M., Silverman, H. F., and Morgan, D. P., "A Dynamic Programming/Neural Network Approach For Connected-Speech Recognition", Proc. Of The IEEE Int. Conf. On Acoustics, Speech and Signal Processing , ICASSP '89, pp. 651-654. 1989.

[19] Huang, S., and Gray, R. M., "Spellmode Recognition Based On Vector Quantization", Speech Communication , Vol. 7, Part 1, pp. 41-53, 1988.



[20] Huang, W., Lippman, R., and Gold, B., "A Neural Net Approach to Speech Recognition", Proc. Of The IEEE Int. Conf. On Acoustics, Speech and Signal Processing , ICASSP '88, pp. 99-102, Glasgow 1988.

[21]Hush, D. R., and Horne, B. G., "Progress In Supervised Neural Networks : What's New Since Lippmann?", IEEE Signal Processing Magazine , pp. 8-39, January 1993.

[22] Itakura, I., "Minimum Prediction Residual Principle Applied To Speech Recognition", IEEE Trans. On Acoustics, Speech and Signal Processing , vol. ASSP-23, No. 1, pp. 67-72, February 1975.

[23] Kirschning, I. "Continuous Speech Recognition Using The Time-Sliced Paradigm", MEng. Dissertation, University Of Tokushima, 1995.

[24] Klatt, D. H., "Review Of The ARPA Speech Understanding Project", J. Acoust, Soc. Am. , vol. 62, No. 6, pp. 1345-1365, December 1977.

[25] Kohonen, T., "The Neural "Phonetic" Typewriter", Computer , pp.11-22, March 1988.

[26] Krause, A., and Hackbarth, H., "Scaly Artificial Neural Networks For Speaker-Independent Recognition Of Isolated Words", Proc. Of The IEEE Int. Conf. On Acoustics, Speech and Signale Processing , ICASSP '89, pp.21-24, 1989.

[27] Kuhn, M. H., Tomaschewski, H., and Ney Hermann, "Fast Nonlinear Time Alignment For Isolated Word Recognition", Proc. Of The IEEE Int. Conf. On Acoustics, Speech And Signal Processing , ICASSP '81, pp. 736-740, 1981.

[28] Lee, G. E., Tattersall, G. D., and Smyth, S. G., "Isolated Word Speech Recognition Using A Neural Network Based Source Model", Br. Telecom. Technol. J., vol. 10, no. 3, pp. 38-47, July 1992.

[29] Levin, A. U., Leen, T. K., and Moody, J. E., "Fast Pruning Using Principal Components", Advances In Neural Information Processing, vol. 6, pp. 35-42, 1994.

[30]Lienard, J-S., and Soong, F.K., "On The Use Of Transient Information In Speech Recognition", Proc. Of The Int. Conf. On Acoustics, Speech And Signal Processing, ICASSP '84 , Vol. 2, pp. 1-17, 1984.

[31] Lippman, R. P., "An Introduction To Computing With Neural Nets", IEEE ASSP Magazine , pp. 4-22, April 1987.

[32] Mariani, J., "Recent Advances In Speech Processing", Proc. Of The IEEE Int. Conf. On Acoustics, Speech and Signal Processing , ICASSP '89, pp. 429-440, Glasgow, 1989.

[33] McCulloch, W. S., and Pitts, W., "A Logical Calculus Of The Ideas Imminent In Nervous Activity", Bulletin Of Mathematical Biophysics , 5, pp 115-133, 1943.

[34] Minsky, M. L., and Papert, S. A., "Perceptrons (Expanded Edition)" , MIT Press, 1988.

[35] Myers, C. S., and Rabiner, L. R., "A Level Building Dynamic Time Warping Algorithm For Connected Speech Recognition", IEEE Trans. on Acoustics Speech and Signal Processing , vol. ASSP-29, No.2, pp. 284-296, April 1981.

[36] Myers, C. S., and Rabiner, L. R., "Connected Digit Recognition Using A Level-Building DTW Algorithm", IEEE Trans. on Acoustics Speech and Signal Processing, vol. ASSP-29 , No.3, pp. 351-363, June 1981.

[37] Nadeu, C., Lieida, E, and Santamaria, M. E., "Trace Segemntation In A LPC-Based Isolated Word Recognition System", Proc. Of MELECON 1985 : Volume 2 : Digital Signal Processing , pp. 111-113, Madrid 1985

[38] Ngolediage, J. E., Gorgui-Naguib, R. N., and Dlay, S. S., "Fast Back-Propagation For Supervised Learning", Proc. Of The IEEE Joint Conf. On Neural Networks , IEEE-IJCNN '93, vol. 3, pp. 2591-2594, Nagoya-Japan 1993.

[39] Nordstrom, T. and Svensson, B., "Using And Designing Massively Parallel Computers For Artificial Neural Networks", Journal Of Parallel And Distributed Computing , vol. 14, no.3, pp. 260-285, 1992.

[40] Olafsson, S., "Dynamical Neural Networks For Speech Recognition", BT Technol. J., vol. 10, no. 3, pp. 48-58, July, 1992.

[41] Poritz, A. B., "Hidden Markov Models : A Guided Tour", Proc. Of The IEEE Int. Conf. On Acoustics, Speech and Signal Processing , ICASSP '88, pp. 7-12, 1988.

[42] Rabiner, L. R., Rosenberg, A. E., and Levinson, S. E., "Considerations In Dynamic Time Warping Algorithms For Discrete Word Recognition", IEEE Trans. On Acoustics, Speech and Signal Processing , vol. ASSP-26, No. 6, pp. 575-582, December 1978.

[43] Rabiner, L. R., and Schmidt, C. E., "Application Of Dynamic Time Warping To Connected Digit Recognition", IEEE Trans. on Acoustics Speech and Signal Processing , vol. ASSP-28, No.4, pp. 377-388, August 1980.

[44] Reddy, D. R., Erman, L. D., Neely, R. B., "A Model And A System For Machine Recognition Of Speech", IEEE Trans. On Audio And Electroacoustics , vol. AU-21, No. 3, pp. 229-238, June 1973.

[45] Renals, S. R., and Rohwer, R., "Learning Phoneme Recognition Using Neural Networks", Proc. Of The IEEE Int. Conf. On Acoustics, Speech and Signal Processing , ICASSP '89, pp. 413-416, 1989.

[46] Robinson, A. J., Almeida, L., Boite, J. M., Bourlard, H., Fallside, F., Hochberg, M., Kershaw, D., Kohn, P., Konig, Y., Morgan, N., Neto, J. P., Renals, S., Saerens, M., and Wooters, C., "A Neural Network Based, Speaker Independent, Large Vocabulary, Continuous Speech Recognition System: The Wernicke Project", Proc. Eurospeech 93 , pp. 1941-1944, 1993.

[47] Rosenblatt, R. "Principles Of Neurodynamics", Spartan Books, New York 1959.

[48] Rumelhart, D. E., Hinton, G. E., and Williams, R. J., "Learning Internal Representations By Error Propagation", Parallel Distributed Processing: Explorations In The Microstructure Of Cognition. Vol. 1. Foundations , pp. 318-362, MIT Press, 1986.

[49] Sakoe, H., and Chiba, S., "Dynamic Programming Algorithm Optimization For Spoken Word Recognition", IEEE trans. on Acoustics, Speech and Signal Processing , vol. 26, no. 1, pp. 43-49, February 1978.

[50] Sakoe, H. "Two-Level DP-Matching - Dynamic Programming-Based Pattern Matching Algorithm For Connected Speech Recognition", IEEE Trans. on Acoustics Speech and Signal Processing , vol. ASSP-27, No.6, pp. 588-595, December, 1979.


[51] Sakoe, H, Isotani, R., Yoshida, K., Iso, K. and Watanabe, T., "Speaker-Independent Word Recognition Using Dynamic Programming Neural Networks", Proc. Of The IEEE Int. Conf. On Acoustics, Speech and Signal Processing , ICASSP '89, pp. 29-32, 1989.

[52] Silverman, H. F., and Morgan, D. P., "The Application Of Dynamic Programming To Connected Speech Recognition", IEEE ASSP Magazine , pp. 7-25, July 1990.

[53] Smith, A. D. "Isolated Word Recognition Using Gradient Back-Propagation Neural Networks", MEng. Dissertation, University Of Newcastle Upon Tyne, 1990.

[54] Soong, F. K., "A Training Procedure For A Segment-Based-Network Approach To Isolated Word Recognition", Proc. Of The IEEE Int. Conf. On Acoustics, Speech and Signal Processing, ICASSP '87, pp. 693-696, Dallas, 1987.

[55] Stern, R. M., and Lasry, M. J., "Dynamic Speaker Adaptation For Feature Based Isolated Word Recognition", IEEE Trans. on Acoustics Speech and Signal Processing , vol. ASSP-35, No.6, pp. 751-763, June 1987.

[56] Tebelskis, J. "Speech Recognition Using Neural Networks", PhD. Dissertation, School Of Computer Science, Carnegie Mellon University, 1995.

[57] Tresp, V., Hollatz, J., and Ahmad, S., "Network Structuring And Training Using Rule Based Knowledge", Advances In Neural Information Processing Systems , vol. 5, pp. 871-878, San Mateo, 1993.

[58] Waibel, A., Hanazawa, T., Hinton, G., Shikano, K., and Lang, K. J., "Phoneme Recognition : Neural Networks vs. Hidden Markov Models", Proc. Of The IEEE Int. Conf. On Acoustics, Speech and Signal Processing , ICASSP '88, pp. 107-110, Glasgow, 1988.

[59] Waibel, A., Hanazawa, T., Hinton, G., Shikano, K., and Lang, K. J., "Phoneme Recognition Using Time Delay Neural Networks", IEEE Trans. on Acoustics Speech and Signal Processing , vol. ASSP-37, No.3, pp. 328-339, 1989.

[60] Waibel, A., Sawai, H., and Shikano, K., "Modularity And Scaling In Large Phonemic Neural Networks", IEEE Trans. on Acoustics Speech and Signal Processing , vol. ASSP-37, No.12, December, 1989.

[61] Woodland, P.C., "Isolated Word Speech Recogniton Based On Connectionist Techniques", Br. Telecom. Technol. J. , vol. 8, no.2, pp. 61-66, April 1990.

[62] Woods, W. A., "Motivation And Overview Of SPEECHLIS: An Experimental Prototype For Speech Understanding Research", IEEE Trans. On Acoustics, Speech and Signal Processing , vol. ASSP-23, No. 1, pp. 2-10, February 1975.