Nearfield Spherical Microphone Arrays for speech enhancement and dereverberation Etan Fisher Supervisor: Dr. Boaz Rafaely.

Slides:



Advertisements
Similar presentations
Today • Diffraction from periodic transparencies: gratings
Advertisements

High frequency annular arrays can provide very good resolution in ultrasound bio-microscopy Numerical simulation of their imaging patterns is essential.
Spatial Sound Encoding Including Near Field Effect: Introducing Distance Coding Filters and a Viable, New Ambisonic Format Jérôme Daniel, France Telecom.
Acoustic-Structural Interaction in a Tuning Fork
IntroductionIntroduction Most musical sounds are periodic, and are composed of a collection of harmonic sine waves.Most musical sounds are periodic, and.
DFT/FFT and Wavelets ● Additive Synthesis demonstration (wave addition) ● Standard Definitions ● Computing the DFT and FFT ● Sine and cosine wave multiplication.
Fourier Transform – Chapter 13. Image space Cameras (regardless of wave lengths) create images in the spatial domain Pixels represent features (intensity,
Propagation and Modulation of RF Waves
Overview from last week Optical systems act as linear shift-invariant (LSI) filters (we have not yet seen why) Analysis tool for LSI filters: Fourier transform.
For any given time series, g(t), the Fourier spectrum is: FOURIER SPECTRUM: Time Domain (TD)-Frequency-Domain (FD) and vice- versa Dr. Sinan Akkar Strong.
Ultrasonic Nonlinear Imaging- Tissue Harmonic Imaging.
Alternatives to Spherical Microphone arrays: Hybrid Geometries Aastha Gupta & Prof. Thushara Abhayapala Applied Signal Processing CECS To be presented.
Vibrating Theory in Composite Structures Vibrating Theory in Composite Structures DERF November 2008 Jelena Muric-Nesic Supervisors: Z.Stachurski, P.Compston.
Project Presentation: March 9, 2006
Zhengyou Zhang, Qin Cai, Jay Stokes
Doppler Effect Physics 202 Professor Lee Carkner Lecture 11.
STUDIOS AND LISTENING ROOMS
A Multipath Sparse Beamforming Method
Rajai1 y b. 2 APPLICATIONS v Heat and mass transfer rates are enhanced by the oscillation of the surrounding fluid. Useful in combustion, drying and the.
Processes altering seismic amplitudes
Chapters 16 – 18 Waves.
Sarah Middleton Supervised by: Anton van Wyk, Jacques Cilliers, Pascale Jardin and Florence Nadal 3 December 2010.
10/12/2006The University of North Carolina at Chapel Hill1 Sound Localization Using Microphone Arrays Anish Chandak 10/12/2006 COMP.
Parameters, pulse parameters, attenuation, and resolution.
Acoustics Reverberation.
THEORETICAL STUDY OF SOUND FIELD RECONSTRUCTION F.M. Fazi P.A. Nelson.
Light Propagation in Gbit LANS John S. Abbott Engineering Associate -- Mathematics Corning Incorporated HPME Corning, NY 14831
Dept. of Electrical Engineering, KU Leuven, Belgium
MIT 2.71/2.710 Optics 12/06/04 wk14-a- 1 Holography Preamble: modulation and demodulation The principle of wavefront reconstruction The Leith-Upatnieks.
Harmonic Series and Spectrograms
1 Chapter 2 Wave motion August 25,27 Harmonic waves 2.1 One-dimensional waves Wave: A disturbance of the medium, which propagates through the space, transporting.
3. 3 Separation of Variables We seek a solution of the form Cartesian coordinatesCylindrical coordinates Spherical coordinates Not always possible! Usually.
Lecture 9 Fourier Transforms Remember homework 1 for submission 31/10/08 Remember Phils Problems and your notes.
Blind speech dereverberation using multiple microphones Inseon JANG, Seungjin CHOI Intelligent Multimedia Lab Department of Computer Science and Engineering,
Physics 452 Quantum mechanics II Winter 2012 Karine Chesnel.
Supervisor: Dr. Boaz Rafaely Student: Limor Eger Dept. of Electrical and Computer Engineering, Ben-Gurion University Goal Directional analysis of sound.
ACOUSTICS w Sound in a Medium w Sound Wave Phenomena w Sound Fields w Earphones w Resonance and Standing Waves.
Fourier analysis in two dimensions University of Illinois at Chicago ECE 427, Dr. D. Erricolo University of Illinois at Chicago ECE 427, Dr. D. Erricolo.
Developing a model to explain and stimulate the perception of sounds in three dimensions David Kraljevich and Chris Dove.
Timo Haapsaari Laboratory of Acoustics and Audio Signal Processing April 10, 2007 Two-Way Acoustic Window using Wave Field Synthesis.
University Physics: Waves and Electricity Ch17. Longitudinal Waves Lecture 4 Dr.-Ing. Erwin Sitompul
Modal Analysis of Rigid Microphone Arrays using Boundary Elements Fabio Kaiser.
Linear and nonlinear representations of wave fields and their application to processing of radio occultations M. E. Gorbunov, A. V. Shmakov Obukhov Institute.
Pre-Class Music Keith Kothman, Interludes video by John Fillwalk.
Ch 2. The Schrödinger Equation (S.E)
Fourier Analysis of Signals and Systems
An Alternative Ambisonics Formulation: Modal Source Strength Matching and the Effect of Spatial Aliasing Franz Zotter Hannes Pomberger Matthias Frank.
What if our function is expressed in polar coordinates?
Harmonic Series and Spectrograms BY JORDAN KEARNS (W&L ‘14) & JON ERICKSON (STILL HERE )
1 Methods in Image Analysis – Lecture 3 Fourier CMU Robotics Institute U. Pitt Bioengineering 2630 Spring Term, 2004 George Stetten, M.D., Ph.D.
Destructive Interference – Active Noise Reduction (ANR) Koss Noise Reduction Headphones.
Dongxu Yang, Meng Cao Supervisor: Prabin.  Review of the Beamformer  Realization of the Beamforming Data Independent Beamforming Statistically Optimum.
Project-Final Presentation Blind Dereverberation Algorithm for Speech Signals Based on Multi-channel Linear Prediction Supervisor: Alexander Bertrand Authors:
Spatial Covariance Models For Under- Determined Reverberant Audio Source Separation N. Duong, E. Vincent and R. Gribonval METISS project team, IRISA/INRIA,
Wave Equations: EM Waves. Electromagnetic waves for E field for B field.
Intro to Fourier Series BY JORDAN KEARNS (W&L ‘14) & JON ERICKSON (STILL HERE )
Spectral subtraction algorithm and optimize Wanfeng Zou 7/3/2014.
Fresnel diffraction formulae
Mayda M. Velasco Winter Classical Mechanics: Lecture #20.
Chapter 2 Wave motion August 22,24 Harmonic waves
Seminar on Microwave and Optical Communication
WP 1: Embodied Acoustic Sensing for Real-world Environments
Wave interference and Beat Frequency
Intro to Fourier Series
Coherence spectrum (coherency squared)
Scalar theory of diffraction
Chapter 2 Wave motion August 20,22 Harmonic waves
Uses of filters To remove unwanted components in a signal
Senior Project – Computer Engineering Active Noise Cancellation For the Attenuation of Sound Stephen E. Lee Advisor – Prof. Catravas Results One.
Chapter 7 Finite Impulse Response(FIR) Filter Design
Presentation transcript:

Nearfield Spherical Microphone Arrays for speech enhancement and dereverberation Etan Fisher Supervisor: Dr. Boaz Rafaely

Microphone Arrays Spatial sound acquisition Sound enhancement Applications: reverberation parameter estimation dereverberation video conferencing

Spheres The sphere as a symmetrical, natural entity.  Spherical symmetry  Facilitates direct sound field analysis:  Spherical Fourier transform  Spherical harmonics Photo by Aaron Logan

Nearfield Spherical Microphone Array Generally, the farfield, plane wave assumption is made (Rafaely, Meyer & Elko). In the nearfield, the spherical wave-front must be accounted for. Examples: Close-talk microphone Nearfield music recording Multiple speaker / video conferencing

Sound Pressure - Spherical Wave Sound pressure on sphere r due to point source r p (spherical wave): Spherical harmonics: From the solution to the wave equation (spherical coordinates):

Sound Pressure - Spherical Wave Sound pressure on sphere r due to point source r p : Spherical harmonics: The spherical harmonics are orthogonal and complete. From the solution to the wave equation (spherical coordinates):

Sound Pressure - Spherical Wave Sound pressure on sphere r due to point source r p : is the spherical Hankel function. is the modal frequency function (Bessel):

Spherical Spectrum Functions

Point Source Decomposition Sound pressure on sphere r due to point source r p : Spherical Fourier transform: Spatial filter – cancel spherical wave-front, yielding unit amplitude at r p =r 0.

Point Source Decomposition Amplitude density: Using the identity: where Θ is the angle between Ω and Ω p,

Nearfield Criteria NOrder of array kWave number r A Array radius r s Source distance

N = 4; r A (array) = 0.1m; k = k max k max = N/r A = 40 k max = 2πf max /343 f max = 2184 Hz r 0 – Desired source location r p – Interference location Radial Attenuation

N = 4; r A (array) = 0.1m; k = k max /4 k max = N/r A = 40 k max = 2πf max /343 f max = 2184 Hz r 0 – Desired source location r p – Interference location Radial Attenuation

N = 4; r A (array) = 0.1m; k = k max /10 k max = N/r A = 40 k max = 2πf max /343 f max = 2184 Hz r 0 – Desired source location r p – Interference location Radial Attenuation

N = 2; r A (array) = 0.05 m; k = k max k max = N/r A = 40 k max = 2πf max /343 f max = 2184 Hz r 0 – Desired source location r p – Interference location Radial Attenuation – “ Close Talk ”

N = 2; r A (array) = 0.05 m; k = k max /4 k max = N/r A = 40 k max = 2πf max /343 f max = 2184 Hz r 0 – Desired source location r p – Interference location Radial Attenuation – “ Close Talk ”

N = 12; r A (array) = 0.3 m; k = k max /4 k max = N/r A = 40 k max = 2πf max /343 f max = 2184 Hz r 0 – Desired source location r p – Interference location Radial Attenuation – Large Array

N = 4; r A (array) = 0.1m; k = k max k max = N/r A = 40 k max = 2πf max /343 f max = 2184 Hz The natural radial attenuation has been cancelled by multiplying the array output by the distance. Normalized Beampattern

N = 4; r A (array) = 0.1m; k = k max /4 k max = N/r A = 40 k max = 2πf max /343 f max = 2184 Hz The natural radial attenuation has been cancelled by multiplying the array output by the distance. Normalized Beampattern

N = 4; r A (array) = 0.1m; k = k max /10 k max = N/r A = 40 k max = 2πf max /343 f max = 2184 Hz The natural radial attenuation has been cancelled by multiplying the array output by the distance. Normalized Beampattern

Directional Impulse Response Amplitude density: Impulse response at direction Ω 0 : where is the ordinary inverse Fourier transform.

Speech Dereverberation Room IR Directional IR {4 X 3 X 2} N = 4 r = 0.1 m r 0 = 0.2 m “Dry” “Rev.” “Derev.”

Music Dereverberation Room IR Directional IR { 8 X 6 X 3 } N = 4 r = 0.1 m r 0 = 1.9 m “Dry” “Rev.” “Derev.”

Conclusions Spherical wave pressure on a spherical microphone array in spherical coordinates. Point source decomposition achieves radial attenuation as well as angular attenuation. Directional impulse response (IR) vs. room IR. Speech and music dereverberation. Further work: Develop optimal beamformer Experimental study of array