Location: Shure Incorporated, 5800 W. Touhy Ave, Niles, IL 60714
Speaker(s): Plamen Ivanov, Motorola
DESCRIPTION:
A student analyzing a microphone array or an engineer designing a multi-microphone system is always facing the need for a sizeable and meaningful database of signals with which to test their system. The conventional approach of building a physical model of the system can be very time consuming, expensive, and in some cases of very limited usefulness.
The talk will outline the basics of a simple microphone signal modeling approach, capable of producing sufficiently accurate and useful test data. It will show how such data was used to study the response of differential and adaptive microphone arrays. A review of the basics of differential array processing is also included.
ABOUT THE PRESENTER:
Plamen Ivanov was born in Vratsa, Bulgaria. He studied Acoustics and Audio Signal Processing in the Wroclaw Polytechnic in Poland, and graduated with a Master’s degree in Electrical Engineering in 1996, with a final-thesis work on text to speech synthesis. He was awarded a European Union “Tempus Scholar Program” grant for a year-long visit at Sheffield Hallam University (England), where he worked in the area of room acoustics and automated signal identification.
In 1996 he joined the graduate program in the Department of Electrical and Computer Engineering at Iowa State University and conducted research in various aspects of non-destructive material evaluation; including finite element modeling, defect detection and characterization, test and measurement system development. He specialized in communications and signal processing and defended a doctorate in 2002.
In 2003 he consulted as a Research Engineer in the area of HSDPA multi-antenna base-band signal processing. Since 2004 he has been with Motorola, contributing to technology development and transfer in product, for various voice and multimedia signal processing components. His current interests and work include surround sound multimedia technology, Ambisonics, array processing, and signal conditioning for robust speech recognition.
MEMBERSHIP:
Not a member of the AES? For information about joining, go to www.aes.org/membership/.
The Audio Engineering Society connects you with top professionals and cutting-edge research in all areas of audio technology.
Other Business: Dinner (optional, but please RSVP) will begin at 6:30pm. Contact Giles Davis ([email protected]) by Tuesday, May 30th if you would like to join us. Pizza and salad from Lou Malnati’s will be provided. Please let Giles know if you have a preference for vegetarian, gluten-free, etc. Price is $10 for non-members and $8 for members and students (please bring cash).
Posted: Wednesday, May 17, 2017
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