Abstract
We introduce a new SVD-based (Singular
value decomposition) strategy for noise reduction in hearing aids.
This technique is evaluated for noise reduction in a behind-the-ear
(BTE) hearing aid where two omnidirectional microphones are mounted in
an endfire configuration. The behaviour of the SVD-based technique is
compared to a two-stage adaptive beamformer for hearing aids developed
by Vanden Berghe and Wouters (1998). The evaluation and comparison is
done with a performance metric based on the speech intelligibility
index (SII). The speech and noise signals are recorded in reverberant
conditions with a signal-to-noise ratio of 0 dB
and the spectrum of the noise signals is similar to the spectrum of the speech signal. The SVD-based technique works without initialization nor assumptions
about a look direction, unlike the two-stage adaptive beamformer.
Still, for different noise scenarios, the SVD-based technique performs
as well as the two-stage adaptive beamformer, for a similar filter
length and adaptation time for the filter coefficients. In a diffuse
noise scenario, the SVD-based technique performs better than the
two-stage adaptive beamformer and hence provides a more flexible and
robust solution under speaker position variations and reverberant
conditions.