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Adaptive separation of acoustic sources for anechoic conditions

Summary: Adaptive separation of acoustic sources
for anechoic conditions:
A constrained frequency domain approach
J¨orn Anem¨uller1
and Birger Kollmeier
Medizinische Physik, Universit¨at Oldenburg,
26111 Oldenburg, Germany
Blind source represents a signal processing technique with a large potential for noise
reduction. However, its application in modern digital hearing aids poses high de-
mands with respect to computational efficiency and speed of adaptation towards
the desired solution. In this paper, an algorithm is presented which fulfills these
goals under the idealized assumption that the superposition of sources in rooms can
be approximated as a superposition under anechoic conditions. Specifically, atten-
uation, the signals' finite propagation speed, and diffuse noise are accounted for,
whereas reflections and reverberation are considered as negligible effects. This ap-
proximation is referred to as the `free field' assumption. Starting from a general
blind source separation algorithm for Fourier transformed speech signals, the free
field assumption is incorporated into the framework, yielding a simple, fast and
adaptive algorithm that is able to track moving sources. Implementation details are


Source: Anemüller, Jörn - Medical Physics Section, Carl von Ossietzky Universität Oldenburg


Collections: Biology and Medicine