7. A method for determining spectral parameters corresponding to a segment of signal, the method comprising: receiving the segment of the signal from a plurality of sensors; generating a hypothesized noise power spectral density function; generating a hypothesized speech power spectral density function; combining the hypothesized power spectral density functions to obtain a spectral hypothesis; evaluating a likelihood that the spectral hypothesis corresponds to the segment of the signal based on application of a discriminant function evaluated using a preconditioned conjugate gradient (PCG) process configured for block Toeplitz type matrices with a block size corresponding to the number of sensors.
7. A method for determining spectral parameters corresponding to a segment of signal, the method comprising: receiving the segment of the signal from a plurality of sensors; generating a hypothesized noise power spectral density function; generating a hypothesized speech power spectral density function; combining the hypothesized power spectral density functions to obtain a spectral hypothesis; evaluating a likelihood that the spectral hypothesis corresponds to the segment of the signal based on application of a discriminant function evaluated using a preconditioned conjugate gradient (PCG) process configured for block Toeplitz type matrices with a block size corresponding to the number of sensors. 15. The method of claim 7 , further comprising: measuring the signal using a microphone, and sampling the measured signal from the microphone to obtain a sampled microphone signal.