SIMULATED NATURAL MOVEMENT OF A COMPUTER-GENERATED SYNTHESIZED TALKING HEAD

A method for simulating natural movement of a computer-generated synthesized talking head using an N-state Markov model. Initially, the number of states N is set representing N different positional orientations of the synthesized talking head. The transitions from each possible current position to each possible next position of the talking head are identified with a set of transitional probabilities in a range from zero to one. A uniformly distributed random number is generated and the state identified by the transition probabilities associated with the random number identifies the next position of the talking head. The synthesized talking head is rotated to that next position and remains there for a durational time period before transitioning to a next position which is probabilistically determined in like manner. To further simulate realistic head movement, the synthesized head may be programmed to remain in a particular state or position for an extended period of time at the end of a sentence of simulated speech.