1. A method of suppressing noise in a speech signal by using a computer to carry out the processes of: a) converting, by at least one processing device, the speech signal to a first vector of frequency spectral speech components and a second vector of frequency spectral speech components identical to said first vector frequency spectral speech components; b) determining, by the at least one processing device, a vector of noise suppression coefficients based on said first vector frequency spectral speech components; c) determining, by the at least one processing device, a speech-versus-noise relationship based on said first vector frequency spectral speech components; d) determining, by the at least one processing device, a vector of post-suppression coefficients based on said determined speech-versus-noise relationship, said first vector frequency spectral speech components, and said vector of noise suppression coefficients determined in process (b); and e) weighting, by the at least one processor, said second vector frequency spectral speech components by said vector of post-suppression coefficients.
1. A method of suppressing noise in a speech signal by using a computer to carry out the processes of: a) converting, by at least one processing device, the speech signal to a first vector of frequency spectral speech components and a second vector of frequency spectral speech components identical to said first vector frequency spectral speech components; b) determining, by the at least one processing device, a vector of noise suppression coefficients based on said first vector frequency spectral speech components; c) determining, by the at least one processing device, a speech-versus-noise relationship based on said first vector frequency spectral speech components; d) determining, by the at least one processing device, a vector of post-suppression coefficients based on said determined speech-versus-noise relationship, said first vector frequency spectral speech components, and said vector of noise suppression coefficients determined in process (b); and e) weighting, by the at least one processor, said second vector frequency spectral speech components by said vector of post-suppression coefficients. 9. The method of claim 1 , wherein said speech-versus-noise relationship represents a probability of presence of a speech section in said first vector frequency spectral speech components.