The Chicago AES Section welcomes members, non-members, and students to its meetings which are typically held at Shure Incorporated and around the Chicagoland area. If you have a meeting idea, please contact us. Meetings are free and there is an optional networking dinner prior to meetings, which has an associated fee.
Location: Shure Incorporated, 5800 W. Touhy Ave, Niles, IL 60714
Speaker(s): Plamen Ivanov, Motorola
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.
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Other Business: Dinner (optional, but please RSVP) will begin at 6:30pm. Contact Giles Davis (email@example.com) 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
Location: 4544 N. Lincoln Avenue Chicago, IL 60625
Speaker(s): Scott Lundius – Education Director, Rob Fishman – Senior Sound Engineer
Scott Lundius and Rob Fishman have agreed to give our Chicago AES Section a special tour of the Old Town School of Folk Music.
WEST BUILDING: Public spaces (front desk, music store, café, Second Floor Gallery with WPA Mural, Resource Center, etc.) classroom spaces, (group classrooms, private classrooms, etc.) and Maurer Concert Hall.
EAST BUILDING: Public spaces (Lobby gathering space, Grand Staircase with large-scale depiction of R. Crumb's Heroes of Blues, Jazz and Country Music, etc.) classroom spaces, (group classrooms, private classrooms, etc.) and Szold Music and Dance Hall (convertible program/performance space).
Other Business: Due to scheduling, we will not be able to do a group dinner before the meeting as is typical. Instead, we encourage everyone to come to an informal social afterwards at Fork (1 block North at Wilson & Lincoln). No reservation is required. Everyone is responsible for their own check. Fork 4600 N Lincoln Ave. Chicago, IL 60625 (773) 751-1500 forkchicago.net
Posted: Monday, March 20, 2017
Location: Shure Incorporated, 5800 W. Touhy Ave, Niles, IL 60714
Speaker(s): John Woodruff, Knowles Electronics
Listeners with normal hearing can recognize the source of a sound, localize the point of origin, and separate the information provided by an individual source from competing sound sources. There is a longstanding interest in developing algorithms to achieve these capabilities in commercial products. Performance for some problems, such as automatic speech recognition (ASR), has improved substantially in recent years. Conventional signal processing techniques, however, are still widely deployed for the problem of sound separation in spite of well-known limitations.
Supervised learning algorithms have been central to the advances achieved in ASR, and such algorithms are poised to displace or augment long-standing signal processing methods used for sound separation. Recent literature has shown that new approaches to sound separation enabled by machine learning may lead to transformative differences in user experience. One example is improving speech intelligibility in a noisy environment for a hearing aid user. Many technical challenges remain to be overcome before we see widespread deployment of these methods.
In this discussion we will cover the basic concepts and acoustic cues involved in conventional approaches to sound separation, such as beamforming and speech enhancement. We will also introduce recent supervised learning approaches to sound separation and discuss where these can be used in combination with, or to replace conventional methods. Finally, we will talk about the challenges in deploying supervised learning methods for sound separation in real-world products.
About the Presenter:
John Woodruff leads audio processing algorithm development for Knowles’ Intelligent Audio division in Mountain View, CA. He has been with Knowles and Audience since 2012, developing algorithms for detection, localization, classification, separation and enhancement of audio signals, and helping to deploy those algorithms in smart phones, laptops and other consumer devices. Prior to joining Audience, he worked on algorithms for sound separation and localization, pitch tracking, and music remixing in the Perception and Neurodynamics Lab at Ohio State University and the Interactive Audio Lab at Northwestern University. John received a Ph.D. in computer science and engineering from Ohio State University, a M.Music in music technology from Northwestern University, and a B.Sc. in mathematics from the University of Michigan.
Other Business: Dinner (optional, but please RSVP) will begin at 6:30pm. Contact Giles Davis (firstname.lastname@example.org) by Wednesday, February 22nd 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: Monday, February 13, 2017