CS 276C Speech and Language Communication in Artificial Intelligence
Prerequisites: course 276A or 276B or consent of instructor. Topics in human-computer communication: interaction with pictorial information systems, sound and symbol generation by humans and machines, semantics of data, systems for speech recognition and understanding. Use of speech and text for computer input and output in applications.
Administrative Information
http://www.cs.ucla.edu/~klinger/index.htmlEmail klinger@cs.ucla.edu
Quizzes and Grading: Spot quizzes contribute to final grades. Seventy percent of the final grade in the course comes from the interim and final reports. Fundamental References Jurafsky, D., Martin, J., et. al., Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics and Speech Recognition, Upper Saddle River NJ: Prentice Hall, 2000. Hausser, R., Foundations of Computational Linguistics: Man-Machine Communication in Natural Language, NY: Springer-Verlag, 1999. Jelinek, F., Statistical Methods for Speech Recognition (Language, Speech, and Communication), Cambridge MA: MIT Press, 1997. Rabiner, L., Juang, B., Fundamentals of Speech Recognition, Englewood Cliffs, NJ: PTR Prentice Hall, 1993. Klinger, A. (ed.), Human Machine Interactive Systems, New York, Plenum Press, 1991.