This talk will present some examples of how digital signal processing tools, especially linear predictive coding (LPC), can be used by the composer. It turns out that many of the technical limitations of LPC can be dodged, camouflaged, and even exploited by artistic work. The talk will have three parts: first, a short technical review by Steiglitz, then remarks by Lansky, then some of Lansky's music.

The Steiglitz/Lansky collaboration in computer music spans three decades, as evidenced by their many joint efforts including: "Practical Considerations in the Application of Linear Prediction to Music Synthesis," (with R. Cann and M. Zuckerman), First International Conference on Computer Music, M.I.T., Cambridge, Mass., 1976; "Synthesis of Timbral Families by Warped Linear Prediction," Computer Music Journal, 1981, (reprinted in The Music Machine, C. Roads (ed.), MIT Press, 1989); and "EIN: A Signal Processing Scratchpad," Computer Music Journal, 1995. This talk provides a rare opportunity to hear these two outstanding researchers discuss their work.

Paul Lansky, Professor of Music at Princeton University, is a noted computer musician and composer. Paul currently has 7 solo CDs in print and has done over 50 recorded works. Paul has been involved with the development of software products for composition, processing, filtering, mixing, and editing of digital soundfiles. He has written dozens of articles on the technical and artistic aspects of computer music. He holds a B.A. from Queens College, and MFA and Ph.D. degrees from Princeton University, and has received numerous fellowships, commissions, and awards from the National Endowment of the Arts and other organizations.

Kenneth Steiglitz, Professor of Computer Science at Princeton University, is well known in the audio community for his work in digital signal processing. Ken is the author of A Digital Signal Processing Primer (Addison-Wesley, 1986). Ken's broad research interests have resulted in over 200 text, journal and conference proceeding publications, on such topics as DSP, combinatorial optimization, discrete systems, and (most recently) agent-based market simulation, and computing with soliton collisions. He holds B.E.E., M.E.E., and Eng.Sc.D., degrees from New York University, and is a Fellow of the ACM and IEEE. Honors include the Technical Achievement Award of the Signal Processing Society, and the IEEE Centennial Medal.

A pre-meeting dinner with the speaker is held at 6 p.m. at the Rusty Scupper on Alexander Road in Princeton. If you would like to attend, please call the information number to record your reservation on the answering machine.

Princeton ACM / IEEE Computer Society meeting are open to the public. Students and their parents are welcome. There is no admission charge, and refreshments are served.