【文件属性】：
文件名称：a noise estimation algorithm
文件大小：260KB
文件格式：PDF
更新时间：2016-04-09 11:08:49
noise estimation algorithm
A noise estimation algorithm is proposed for highly non-
stationary noise environments. The noise estimate is
updated by averaging the noisy speech power spectrum
using a time and frequency dependent smoothing factor,
which is adjusted based on signal presence probability in
subbands. Signal presence is determined by computing the
ratio of the noisy speech power spectrum to its local
minimum, which is computed by averaging past values of
the noisy speech power spectra with a look-ahead factor.
The local minimum estimation algorithm adapts very
quickly to highly non-stationary noise environments. This
was confirmed with formal listening tests that indicated
that our noise estimation algorithm when integrated in
speech enhancement was preferred over other noise
estimation algorithms.