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Boston University--Harvard University--University of Illinois--University of Maryland A System Identification Problem from Lord Rayleigh P. S. Krishnaprasad.

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Presentation on theme: "Boston University--Harvard University--University of Illinois--University of Maryland A System Identification Problem from Lord Rayleigh P. S. Krishnaprasad."— Presentation transcript:

1 Boston University--Harvard University--University of Illinois--University of Maryland A System Identification Problem from Lord Rayleigh P. S. Krishnaprasad University of Maryland, College Park Department of Electrical and Computer Engineering & Institute for Systems Research Center for Communicating Networked Control Systems ------------ New Directions & Applications in Control Theory Texas Tech University, Lubbock November 14-15, 2003

2 Boston University--Harvard University--University of Illinois--University of Maryland Recollections of Case Western Reserve University

3 Boston University--Harvard University--University of Illinois--University of Maryland Recollections of Case Western Reserve University

4 Boston University--Harvard University--University of Illinois--University of Maryland Lord Rayleigh About 10 years prior to the Michaelson- Morley experiment, Rayleigh was creating the theory of sound 1842-1919 “The problem of the whispering gallery”, Philosophical Magazine, pp 1001-1004, 1910

5 Boston University--Harvard University--University of Illinois--University of Maryland Sound following

6 Boston University--Harvard University--University of Illinois--University of Maryland Sound Source Localization Outline Model-free approaches A model and an identification problem Ambiguity and determining elevation References Demonstration This is joint work with Amir Handzel, Sean Andersson, and Martha Gebremichael. Also thanks to Shihab Shamma for inspiration. Vinay Shah did recent measurements and demos.

7 Boston University--Harvard University--University of Illinois--University of Maryland Barn Owl and Robot Can we capture the barn owl’s auditory acuity in a binaural robot? 2 degrees ~ microseconds resolution

8 Boston University--Harvard University--University of Illinois--University of Maryland Sound Localization in Nature Localization: spatial aspect of auditory sense Sensory organ arrangement: Vision -- spatial “topographic” Audition -- tonotopic, transduction to sound pressure in frequency bands special computation required, performed in dedicated brainstem circuits and cortex

9 Boston University--Harvard University--University of Illinois--University of Maryland Acoustic Cues for Localization Binaural/Inter-aural Level/Intensity Difference (ILD) Time/Phase Difference (IPD) On-set difference/precedence effect Monaural: spectral-directional filtering by Pinna, mostly for elevation

10 Boston University--Harvard University--University of Illinois--University of Maryland Place Theory (L. Jeffress) J. Comp. Physiol. & Psychol., (1948) 41:35-39 Jeffress model and schematic of brainstem auditory circuits for detection of interaural time (ITD) differences; from Carr & Amagai (1996)

11 Boston University--Harvard University--University of Illinois--University of Maryland Stereausis (S. Shamma et. al.) J. Acoust. Soc. Am. (1989) 86:989-1006 Ipsi-lateral cochlea Characteristic frequency Sound Characteristic frequency Contara- lateral cochlea AVCN Ipsi- center contra- lateral C kk +1 C kk C kk -1 YjYj C ij XiXi or

12 Boston University--Harvard University--University of Illinois--University of Maryland -45 deg (left) Stereausis shifts from the main diagonal according to the source location. 45 deg (right)0 deg center Incoming sound: a pure tone Stereausis scheme (courtesy Shihab Shamma, UMd)

13 Boston University--Harvard University--University of Illinois--University of Maryland Initial Motivation The above approaches are static, and do not take account of motion. But psychophysical experiments show active horizontal head rotations improve localization, break inter-aural symmetry, and thus provide information on elevation (Perret & Noble 1997, Wightman & Kistler 1999). Formulating this as an identification problem provides insight. We will show how movement can be helpful is resolving ambiguities. Applications arise in guiding a robot towards an acoustic source. First, for a model, we turn to Rayleigh.

14 Boston University--Harvard University--University of Illinois--University of Maryland Lord Rayleigh and Binaural Perception ILD and ITD both needed for azimuth. (What about elevation?) See section 385 of The Theory of Sound 1945Edition Rayleigh set up the problem of sound propagation around an acoustically hard sphere. He introduced the head-related transfer function (HRTF). HRTF computed from sound pressure field generated at a point on the sphere by a point source located at (θ, φ). For a sphere, one has to solve the Helmholtz equation.

15 Boston University--Harvard University--University of Illinois--University of Maryland Coordinate Systems  zimuthal  Polar  Elevation  zimuth Microphones at poles on horizontal plane

16 Boston University--Harvard University--University of Illinois--University of Maryland Static Solution Pressure field proportional to Does not depend on azimuthal angle (  Head Related Transfer Function (HRTF) Numerical (e.g. FMP), and empirical methods for non-spherical heads

17 Boston University--Harvard University--University of Illinois--University of Maryland A representation of HRTF information

18 Boston University--Harvard University--University of Illinois--University of Maryland Blauert, J. (1997). Spatial Hearing (Revised Edition) (MIT Press, Cambridge, MA). C. Phillip Brown, “Modeling the Elevation Characteristics of the Head-Related Impulse Response”, Dept. of Elec. Engr., San Jose State Univ. M. S. Thesis, (May, 1996). Duda, R. O. (1995). “Estimating azimuth and elevation from the interaural head related transfer function,” in Binaural and Spatial Hearing, R. Gilkey and T. Anderson, Eds. (Lawrence Erlbaum Associates, Hillsdale, N.J.) Some Related Work on HRTFs R. O. Duda

19 Boston University--Harvard University--University of Illinois--University of Maryland Feature Plane (cylinder) and Signatures ILD & IPD constitute an intermediate computational space for localization. At each frequency a source gives rise to a point in the ILD-IPD plane (cylinder). A (broadband) point source imprints a signature curve on this feature plane (cylinder) according to its location.

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21 Symmetry of Static Localization Sound pressure and resulting inter-aural functions depend only on polar angle; azimuth invariant -- SO(2) symmetry Sources on same circle of directions have identical signatures. Hence the localization confusion. Introduce distance measures.

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24 Symmetry and Rotations  zimuthal  Polar  Elevation  zimuth

25 Boston University--Harvard University--University of Illinois--University of Maryland Breaking the Symmetry Azimuthal invariance, but polar rotations do change the localization functions. Key mathematical step: infinitesimal rotations act as derivative operator -- generate vector fields on signatures. Derivatives ‘modulated’ by Cos(  -- thus elevation extracted from horizontal rotation! (Head movement helps)

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29 Experimental Results Broad band source - sum of pure tones 43 Hz – 11 KHz in steps of 43Hz. Passed through anti-aliasing filter and sampled at 22KHz. Knowles FG-3329 microphones used on head of 22.6 cm maximum diameter. To determine ILD and IPD, each 512 point segment (23 ms) of data was passed through an FFT. Measured IPD and ILD were smoothed by a nine-point moving average. This yields empirically determined (discrete) signature curves on ILD-IPD space. Localization computations based on minimizing distance functions. Implementation of this step on mobile robot achieved as a table lookup.

30 Boston University--Harvard University--University of Illinois--University of Maryland Pumpkin head side-view (left) and top view (right). Minimum diameter 19 cm and maximum diameter 22.6 cm.

31 Boston University--Harvard University--University of Illinois--University of Maryland Plot on left displays smoothed ILD against theoretical ILD for source at 17.5 degrees in horizontal plane. Plot on right shows smoothed IPD against theoretical IPD for same source.

32 Boston University--Harvard University--University of Illinois--University of Maryland Plot on left shows distance functions for source at 15 deg and 17.5 deg. Plot on right shows distance functions for source at 72.5 deg and 75 deg.

33 Boston University--Harvard University--University of Illinois--University of Maryland Performance plots for IPD-ILD algorithm (left) and traditional ITD algorithm (right)

34 Boston University--Harvard University--University of Illinois--University of Maryland Implications and Applications Psychophysics: auditory displays, auditory component of virtual environments and hearing aids. Bio-mimetic active robot head References: A. A. Handzel and P. S. Krishnaprasad. “Bio-mimetic sound source localization”, IEEE Sensors Journal, 2(6), 607-617, 2002 A. A. Handzel, S. B. Andersson, M. Gebremichael, and P. S. Krishnaprasad. “A bio-mimetic apparatus for sound source localization”, Proc. 42nd IEEE Conf. on Decision and Control, Dec. 2003 (in press). S. B. Andersson, A.A. Handzel, V. Shah and P. S. Krishnaprasad. “Robot phonotaxis with dynamic sound source localization”, submitted (November 2003).

35 Boston University--Harvard University--University of Illinois--University of Maryland Front Back Demo Without front-back distinctionWith front-back distinction

36 Boston University--Harvard University--University of Illinois--University of Maryland Happy Birthday Clyde


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