1. A method of identifying an estimate for a noise-reduced value representing a portion of a noise-reduced speech signal, the method comprising: decomposing each frame of a noisy speech signal into a harmonic component for the frame and a random component for the frame; for each frame, determining a separate scaling parameter for the frame for at least the harmonic component wherein determining a scaling parameter for each frame of the harmonic component comprises determining a ratio of an energy of the harmonic component in the frame without the random component of the frame to an energy of the frame of the noisy speech signal; for each frame, multiplying the harmonic component of the frame by the scaling parameter of the frame for the harmonic component to form a scaled harmonic component for the frame; for each frame, multiplying the random component of the frame by a fixed scaling parameter for the random component, wherein the fixed scaling parameter is the same for all frames and is less than one to form a scaled random component for the frame; and for each frame, summing the scaled harmonic component for the frame and the scaled random component for the frame to form the noise-reduced value representing a frame of a noise-reduced speech signal wherein the frame of the noise-reduced speech signal has reduced noise relative to the frame of the noisy speech signal.