Patrick M. Zurek - Arlington MA, US Joseph G. Desloge - Brookline MA, US
Assignee:
Sensimetrics Corporation - Somerville MA
International Classification:
H04R 25/00
US Classification:
381 60, 381314
Abstract:
An immersive hearing loss and auditory prostheses simulator allows a person who listens through the simulation system to experience an actual shift in his or her thresholds for detecting ambient sounds, in a way that is similar to the shift in thresholds experienced by a hearing-impaired person. The simulator shifts the listener's thresholds while also processing the input signals for suprathreshold stimulation. With a controlled degree of auditory threshold shift with loudness recruitment, a hearing loss simulator is made valid and flexible.
Microphone-Array Processing To Generate Directional Cues In An Audio Signal
A hear-through hearing protective device includes at least two microphones, simulated-pinna filters, and a processing circuit. Elevation dependent directional cues are introduced by the processing performed by the simulated-pinna filters. Introduced directional cues are designed to allow the wearer to identify the source location of an acoustic signal.
Location-Estimating, Null Steering (Lens) Algorithm For Adaptive Array Processing
Massachusetts Institute of Technology - Cambridge MA
International Classification:
H04B 1/10
US Classification:
375350
Abstract:
An adaptive multiple-tap frequency domain digital filter processes an input signal vector X from an plurality of spatially separated transducers that detect energy from a plurality of sources including a target energy source and at least one non-target energy source. The filter receives and processes the input signal vector X to attenuate noise from non-target sources and provides an output signal vector Y. Tap weights Wfor the filter are selected by first parameterizing each of the tap weights W, such that each of the tap weights Wis characterized by a vector of parameters , and the solving for each parameter of the vector by minimizing the expected power of the array output signal Y. A robustness-control transformation is then applied to the vector p to provide a robust vector wherein the robustness-control transformation identifies and reduces target canceling components of the vector while preserving non-target canceling components. Finally, the weight vector indicative of the filter tap weights is formed as a function of the vector. Notably, the present invention separates the robustness constraining process from the beamforming power minimization, in contrast to prior art techniques which combine the robustness constraint into the beamforming power minimization.
Sensimetrics Corp.
Principal Research Scientist
MIT since Jan 2007
Research Scientist
MIT Research Laboratory of Electronics since 2006
Research Scientist
Education:
Massachusetts Institute of Technology 1992 - 1998
S.M, Ph.D., Electrical Engineering
Cornell University 1988 - 1992
BS, Electrical Engineering
Skills:
Matlab Signal Processing Research R&D Acoustics C++ Visual C++ Audio
Oct 2010 to 2000 ConsultantCampaigners El Segundo, CA Sep 2010 to Sep 2012 Epson District Sales ManagerPremium Retail Services Chesterfield, MO Feb 2010 to Jan 2011 Software trainerSONY - MarketStar Ogden, UT Oct 2009 to Oct 2010 Retail Market, direct salesFIRE School of Ministry Concord, NC Jan 2003 to Jul 2009 Assistant ProfessorIntel- Kelly Services, Box Detroit, MI Sep 2007 to Jan 2009 Marketing, sale, and training manager - Retail MarketHewlett-Packard- MarketSource Alpharetta, GA Apr 1998 to Sep 2007 District Sales & Training Manager - Retail MarketGordon-Conwell Theological Seminary Charlotte, NC Apr 1992 to Aug 2006 Adjunct Professor
Education:
Logos Graduate School 2002 Ph.D.Gordon-Conwell Theological Seminary 1988Southeastern University 1982 BA
Skills:
Certified Computer Repair
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