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1 Department of Electrical and Computer Engineering Advisor: Professor Zink Team Acoustic Beamformer Preliminary Design Review 10/18/2013.

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Presentation on theme: "1 Department of Electrical and Computer Engineering Advisor: Professor Zink Team Acoustic Beamformer Preliminary Design Review 10/18/2013."— Presentation transcript:

1 1 Department of Electrical and Computer Engineering Advisor: Professor Zink Team Acoustic Beamformer Preliminary Design Review 10/18/2013

2 2 Department of Electrical and Computer Engineering Advisor: Professor Zink Team Acoustic Beamformer Nick Driscoll EE Rebecca McFarland CSE John Shattuck EE Jimmy Danis EE Name

3 3 Department of Electrical and Computer Engineering Advisor: Professor Zink Presentation Overview Problem Statement Social Impact Our Project: The Acoustic Beamformer System Requirements Block Diagram Description of Components Alternatives Current Development Status MDR Deliverables Schedule

4 4 Department of Electrical and Computer Engineering Advisor: Professor Zink Problem Statement Difficult to scan and localize a single person’s voice among outside conversation and background noise in real time

5 5 Department of Electrical and Computer Engineering Advisor: Professor Zink Problem Areas Primary: Conference Rooms/Small Lecture Halls Video conferences across business sites Questions asked in lecture Secondary: Surveillance Detecting noises in small rooms Would be nice for surveillance cameras to quickly point to an intruding noise source

6 6 Department of Electrical and Computer Engineering Advisor: Professor Zink Social Relevance Hard for those with hearing impairments to filter out background noise Cost considerations High-end hearing aids can cost up to $8000 Up to 75% of hearing-impaired individuals do not have hearing aids

7 7 Department of Electrical and Computer Engineering Advisor: Professor Zink Solution: The Acoustic Beamformer Input: 8 microphone outputs Output: Project audio signal and visual representation of sound wave Utilize Beamforming Signal Processing Techniques

8 8 Department of Electrical and Computer Engineering Advisor: Professor Zink System Requirements Operate within the human voice frequency spectrum Ideally 300 Hz- 3kHz Localize a sound source within 5 meters of the microphone array (15 feet) Effective in an 100 degree span 15 ft. 40 o (Not to Scale)

9 9 Department of Electrical and Computer Engineering Advisor: Professor Zink Final System Functionality

10 10 Department of Electrical and Computer Engineering Advisor: Professor Zink Block Diagram

11 11 Department of Electrical and Computer Engineering Advisor: Professor Zink Microphones Analog Device MEMS Microphone Omnidirectional Analog output Frequency range: 100 Hz – 15 kHz Sensitivity -42 dB +/- 3 db @ 94 dB SPL S/N Ratio 62 dB

12 12 Department of Electrical and Computer Engineering Advisor: Professor Zink A-D Converter Need 8 channel inputs Need USB out because modern computers do not support serial interfaces Options we are investigating: MC USB-DIO24/37 DATAQ DI-149 USB

13 13 Department of Electrical and Computer Engineering Advisor: Professor Zink Computer Software MATLAB for simulation and initial analysis Custom software for real-time processing DSP processing library Visualization Audio output

14 14 Department of Electrical and Computer Engineering Advisor: Professor Zink Alternatives: Nontechnical Direction of interest manually fixated Pass around a microphone Physically turn a microphone or camera to target point Cheap and accessible Inefficient, more time consuming than electronic methods

15 15 Department of Electrical and Computer Engineering Advisor: Professor Zink Alternatives: Technical ClearOne non-directional 24 microphone array for conference rooms Price: $3,000 Polycom HDX Ceiling Microphone Array Price: $1,200 Systems are expensive, far exceeding an SDP budget

16 16 Department of Electrical and Computer Engineering Advisor: Professor Zink Current Development Status Researched similar previous SDP projects 3 main issues keeping others from succeeding: Problems integrating A/D Converters Choosing substandard microphones Assuming plane waves (sources likely too close) Compiled several MATLAB simulations Refining a basic algorithm for use Purchased a few microphones for initial testing before deciding on final hardware

17 17 Department of Electrical and Computer Engineering Advisor: Professor Zink MATLAB Plots

18 18 Department of Electrical and Computer Engineering Advisor: Professor Zink MATLAB – Source Angle Sweep

19 19 Department of Electrical and Computer Engineering Advisor: Professor Zink Proposed MDR Deliverables Single microphone to A-D Input into MATLAB Be able to analyze one channel in MATLAB Parallel development of real-time software framework

20 20 Department of Electrical and Computer Engineering Advisor: Professor Zink Schedule TaskAreaResponsibleDue Date Test mics - determine if they meet specsHardwareNick18-Oct Choose A-DHardwareNick1-Nov Initial MATLAB simulationsMATLABJimmy6-Oct MATLAB Parameter SweepMATLABJimmy6-Oct MATLAB Parameter OptimizationMATLABJimmy10-Oct MATLAB Source ScanMATLABJimmy18-Oct MATLAB Source TrackMATLABJimmy18-Oct Find DSP librarySoftwareRebecca18-Oct Design software structureSoftwareRebecca18-Oct Test A-D into computerHardwareNick8-Nov Process signal in softwareSoftwareRebecca1-Nov Process multiple inputs in softwareSoftwareRebecca15-Nov Get signal->computer & see in MATLABMATLABGeneralMDR MDR Review WeekMisc18-Nov MDR Draft ReportDocumentationJimmy27-Nov MDR Final ReportDocumentationJohn13-Dec Algorithm DesignMiscJohnOngoing

21 21 Department of Electrical and Computer Engineering Advisor: Professor Zink Backup Information

22 22 Department of Electrical and Computer Engineering Advisor: Professor Zink Mic Separation Sweep

23 23 Department of Electrical and Computer Engineering Advisor: Professor Zink Source Frequency Sweep


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