Low power multi-stage selectable neural network suppression

A multi-stage selectable neural network noise suppression system, comprising:

• a first stage noise pattern selection neural network receptive to an input signal and an automatic noise classification being generated based upon an evaluation of the input signal by the first stage noise pattern selection neural network;
• a noise suppression weight table including one or more sets of automatic noise suppression weight values corresponding to the automatic noise classifications generated by the first stage noise pattern selection neural network;
• and
• a second stage noise pattern suppression neural network receptive to the input signal, a specific automatic targeted noise suppression being selectively applied to the input signal based upon the automatic noise suppression weight values provided to the second stage noise pattern suppression neural network from the noise suppression weight table.

An article of manufacture comprising a non-transitory program storage medium readable by a data processing apparatus, the medium tangibly embodying one or more programs of instructions executable by the data processing apparatus to perform a method for suppressing noise in a signal, the method comprising the steps of:

• receiving an input signal from a signal source;
• evaluating the input signal with a first stage noise pattern selection neural network, an automatic noise classification being generated from the evaluation of the input signal;
• retrieving, from a noise suppression weight table, a set of automatic noise suppression weight values correlated to the automatic noise classification generated by the first stage noise pattern selection neural network;
• and
• selectively applying an automatic targeted noise suppression to the input signal with a second stage noise pattern suppression neural network, the automatic targeted noise suppression being based upon the retrieved set of automatic noise suppression weight values.