Malcolm Slaney, Better CHI with Signal Computation, Talk at Stanford PCD Seminar, CS 547, January 7, 2000.
One of the most difficult problems in computer science is recognizing and synthesizing the full range of human behavior. It is important to
allow humans to deal with computers on human terms. I will describe several techniques that my colleagues and I have developed that
use signal computation to improve human-computer interaction. I will talk about algorithms that sense human behavior (BabyEars),
entertain our senses (audio morphing and Magic Mirror), synthesize realistic humans (Video Rewrite) and improve human perception
(Mach1 and auditory scene analysis). We call this style of computation people-centric processing.
See also http://www-pcd.stanford.edu/cs547/abstracts/99-00/000107-slaney.html