September 2004 Meeting Notice
Subject: | MTB -- A New Method For Capturing and Rendering Spatial Sound |
Speakers: | Richard O. Duda, CIPIC Interface Laboratory UC Davis |
Place: | Dolby Labs, San Francisco |
Time and Date: | September 21st, 7:30 PM (refreshments at 7:00 PM) |
The two standard methods for capturing live spatial sound with microphone arrays
attempt either to reconstruct the incoming wave field or to reproduce the sound
pressure at the eardrums. The various surround-sound systems usually use
loudspeakers to provide approximate wave field synthesis, and the effect
of the listener's head is automatically accounted for by immersing the listener
in the sound field. Unfortunately, exact wave field reconstruction
requires a very large number of channels. Binaural or dummy-head
recordings, which need only two channels, usually use headphones to provide
separate signals directly to the ears. Here the effect of the listener's
head is approximately accounted for by the corresponding dummy head.
Unfortunately, binaural recordings do not account for the dynamic effects that
occur when listeners turn their heads, and the sonic world turns whenever the
listener turns.
We describe a new approach that provides a different tradeoff between
bandwidth requirements and spatial fidelity. Our new method -- called MTB
for Motion-Tracked Binaural -- is a generalization of binaural recordings
that uses more than two channels so that it can capture the dynamic effects
generated by the listener's motion and stabilize the acoustic field. The
result, which is best heard over headphones, is highly realistic reproduction of
spatial sound with modest bandwidth requirements. The method requires
interpolation between microphone signals, and benefits from customization for
individual listeners. Interpolation and customization methods will be
described, and a demonstration of the system will be given.
Richard O. Duda received his B.S. and M.S. degrees in Engineering from UCLA in
1958 and 1959, respectively, and his Ph.D. in Electrical
Engineering from MIT in 1962. He was in the Artificial Intelligence Center at
SRI International from 1962 to 1980, serving as a visiting professor at the
University of Texas at Austin in the 1973/74 academic year. He was in the
Laboratory for AI Research at Fairchild Semiconductor from 1980 to 1983,
was with Syntelligence from 1983 to 1988, and was a Professor of Electrical
Engineering at San Jose State University from 1988 to 2001. Since then he has
been performing research on spatial sound in the CIPIC Interface Laboratory at
UC Davis.
Dr. Duda is the co-author with Peter E. Hart and David G. Stork of Pattern
Classification, 2nd Ed. (Wiley, 2001). He is a member of the Audio Engineering
Society, the Acoustical Society of America, a Fellow of the IEEE, and a Fellow
of the American Association for Artificial
Intelligence.
Directions
From Peninsula/S.F. Airport/Silicon Valley (Hwy. 101 North) Take Vermont Street Exit. Make immediate left onto Vermont Street. Go 5 blocks and turn left onto Alameda Street. Three blocks up is Potrero Avenue. Dolby is the large, red, 3-story brick building on the corner of Potrero and Alameda.
From Bay Bridge (Hwy. 80 West) Take 9th Street/Civic Center exit. Go to the south onto Harrison Street. Follow Harrison to 10th Street. Turn left onto 10th Street and proceed under freeway overpass onto Potrero Avenue. Dolby is the large, red, 3-story brick building on the corner of Potrero and Alameda.
From Golden Gate Bridge (Hwy. 101 South) Cross Golden Gate Bridge, take the Lombard Street (Hwy. 101) Exit. Follow Hwy. 101 signs up Lombard to Van Ness Avenue. Turn right. Proceed on Van Ness to Fell Street and turn left. Proceed on Fell until it crosses Market Street and becomes 10th Street. Continue on 10th under freeway overpass and bear right onto Potrero Avenue. Dolby is the large, red, 3-story brick building on the corner of Potrero and Alameda.
Address:
Dolby Laboratories
100 Potrero Avenue
San
Francisco, CA
94103-4813
415-558-0200