The Institute for Computer Research (ICR) Presents a Seminar on "Interactive Voice Servers Over the Telecom Network" by: Professor Gerard Chollet of: Centre National de la Recherche Scientifique Ecole Nationale Superieure des Telecommunications-Signal Paris, France Date: Wednesday, September 4, 1996 Time: 3:30 p.m. Place: William G. Davis Computer Research Centre, Room 1304 Abstract: A lot of 'useful' (and some useless) information is getting more accessible over the TELECOM network (INTERNET, AudioTex, Banking, Travel, Tourism ...). In many situations the most convenient (and sometimes the only) way to access it is Voice I/O. The use of the telephone on the other hand could be very frus- trating or distracting when the intended recipient of the call is absent or busy or does not want to answer the phone . Voice mail systems are an answer to this problem. They are becoming more and more user friendly and include such features as setting up appointments, speaker verification, etc. This talk will review some to the speech technology necessary to fully develop this market. Among the issues are: Language- independent flexible vocabulary approach to speech recognition, robustness to the environment (noise, channel distortions, etc.), dialectical variations, speaker verification, adaptation to new speakers, speech translation, among others. Interactive Voice Servers developed in France and Switzerland will be described and evaluated. Biography: Gerard Chollet's education was centred on Mathematics (DUES-MP), Physics (Maotrise), Engineering and Computer Sciences (DEA) until the doctoral level. He studied Linguistics, Electrical and Com- puter Science at the University of California, Santa Barbara and was granted a Ph.D. in Computer Science and Linguistics. Professor Chollet joined the Centre National de la Recherche Scientifique in 1978 at the Institut de Phonetique in Aix en Pro- vence. His main research interests are in phonetics, automatic speech processing, speech dialogue systems, multimedia, pattern recognition, digital signal processing, speech pathology and speech training aids. Everyone is welcome. Refreshments served. DEPARTMENT OF COMPUTER SCIENCE UNIVERSITY OF WATERLOO SEMINAR ACTIVITIES MASTERS THESIS PRESENTATION - Thursday, September 5, 1996 J.Y. Eric Giguere , Graduate Student, Department of Computer Science, University of Waterloo will speak on ``A Model for Database Support in Rapid Application Development Environments''. TIME: 2:30 - 3:30 p.m. ROOM: Davis Centre Room DC3301 ABSTRACT This thesis describes a model for database support in rapid application (RAD) environments. With this model, users who have very little database expertise can create interactive database applications requiring a minimal amount of coding while also minimizing or eliminating the use of user-modified generated code. The University of Waterloo 200 University Avenue Waterloo, Ontario The Institute for Computer Research (ICR) and the Department of Systems Design Engineering Present a Joint Seminar on "Global Optimization Methods for Neural Network Training" by: Professor Benjamin W. Wah of: Department of Electrical & Computer Engineering University of Illnois at Urbana-Champaign Urbana, Il Date: Friday, September 6, 1996 Time: 3:00 p.m. Place: William G. Davis Computer Research Centre, Room 1302 Abstract: In this talk, we examine various supervised learning methods for training feed-forward neural networks. In general, such learning can be considered as a nonlinear global optimization problem in which the goal is to minimize the nonlinear error function that spans the space of the weights. We survey various global optimi- zation methods suitable for neural-network learning, and propose the NOVEL method, a Nonlinear global Optimization method Via External Lead for nonlinear optimization and neural network learning. By combining global and local searches, we show how NOVEL can be used to find a good local minimum in the error space. Our key idea is to use a user-defined trace function that pulls the search out of a local minimum without having to restart it from a new starting point. Using five benchmark problems, we compare NOVEL against some of the best global optimization algo- rithms and demonstrate its superior improvement in performance. Biography: Benjamin W. Wah received his Ph.D. degree in computer science from the University of California, Berkeley, CA, in 1979. He is currently a Professor in the Department of Electrical and Comput- er Engineering, Coordinated Science Laboratory, and Beckman In- stitute of the University of Illinois at Urbana-Champaign, Urba- na, IL. Previously, he had served on the faculty of Purdue University (1979-85), as a Program Director at the National Sci- ence Foundation (1988-89), as Fujitsu Visiting Chair Professor of Intelligence Engineering, Tokyo University (1992), and McKay Visiting Professor of Electrical Engineering and Computer Sci- ence, University of California, Berkeley (1994). Dr. Wah is Editor-in-Chief of the IEEE Transactions on Knowledge and Data Engineering, and serves on the editorial boards of several jour- nals. His current research interests are in the areas of paral- lel and distributed processing, computer networks, neural net- works, evolutionary computation, knowledge engineering, and non- linear optimization. Everyone is welcome. Refreshments served.