A method and apparatus for training and using a pattern recognition model
are provided. Under the invention, additive noise that matches noise
expected in a test signal is included in a training signal. The noisy
training signal is passed through one or more noise reduction techniques
to produce pseudo-clean training data. The pseudo-clean training data is
used to train the pattern recognition model. When the test signal is
received, it is passed through the same noise reduction techniques used on
the noisy training signal. This produces pseudo-clean test data, which is
applied to the pattern recognition model. Under one embodiment, sets of
training data are produced with each set containing a different type of
noise.
