Wavefield Decomposition Using Microphone Arrays and Its Application to Acoustic Scene Analysis

Thesis
(Dissertation)


Publication Details

Author(s): Teutsch H
Publication year: 2006
Language: English


Abstract

Many applications of acoustic signal processing, such as
teleconferencing and surveillance systems, require an estimate of
several parameters present in the observed acoustic scene. The most
important parameters are the location of the acoustic sources as well as
the number of currently active sources. These parameters have been
traditionally estimated by means of classical array signal processing
using microphone arrays. The term 'classical' is used here to classify
algorithms that are derived from the microphone signals directly. In
contrast, the algorithms presented in this thesis are not solely based
on classical array signal processing but also on the principles of wave
propagation and wave scattering offered by the science of classical
acoustics. Novel so-called modal array signal processing algorithms can
now be derived from the fundamental solutions of the acoustic wave
equation. Algorithms for parameter estimation solely based on the
paradigm of classical array signal processing, often suffer from the
problem that they rely on a narrowband assumption underlying the signal
model, which limit their usability when broadband signals, such as
speech, are present in the wavefield under observation. It will be shown
that by additionally considering the paradigm of classical acoustics,
algorithms can be derived that are inherently broadband, hence allowing
for ubiquitous application. Moreover, it will be shown that parameter
estimation, based on these novel methods, has the potential to
unambiguously detect and localize multiple simultaneously active
wideband sources in the array's full field-of-view. In order to take
advantage of the paradigms that can be found in the field of acoustics,
special array geometries are considered here, i.e. circular and
spherical geometries for the analysis of wave propagation in two and
three spatial dimensions, respectively. A rigorous derivation of modal
array signal processing algorithms for parameter estimation as well as
performance evaluations by means of simulations and measurements using
an actual real-time capable implementation are presented.


How to cite

APA:
Teutsch, H. (2006). Wavefield Decomposition Using Microphone Arrays and Its Application to Acoustic Scene Analysis (Dissertation).

MLA:
Teutsch, Heinz. Wavefield Decomposition Using Microphone Arrays and Its Application to Acoustic Scene Analysis. Dissertation, 2006.

BibTeX: 

Last updated on 2019-02-06 at 18:14