A method of suppressing noise in a speech signal, comprising: a) converting said 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 of frequency spectral speech components; b) determining a vector of noise suppression coefficients (G n ) based on said first vector of frequency spectral speech components; c) determining a vector of estimated frequency noise components (λ n ) based on the first vector of frequency spectral speech components; d) determining a vector of enhanced speech spectral components (X n ) as a product of said first vector of frequency spectral speech components and said vector of noise suppression coefficients (G n ); e) determining a speech-versus-noise relationship (p) based on the vector of enhanced speech spectral components (X n ), and on the vector of estimated frequency noise components (λ n ); f) determining a vector of post-suppression coefficients (F·G n ); and g) weighting said second vector of frequency spectral speech components by said vector of post-suppression coefficients (F·G n ), wherein step (f) comprises (f1) determining a first correction factor (F U ) based on the vector of enhanced speech spectral components (X n ), the vector of estimated frequency noise components (λ n ) and the speech-versus-noise relationship (p), and (f2) calculating said vector of post-suppression coefficients (F·G n ) based on said first correction factor (F U ) and a predetermined second correction factor (F V ), by combining said first and said second correction factors (F U , F V ) to produce a combined correction factor (F), and by weighting said vector of noise suppression coefficients (G n ) by said combined correction factor (F) to produce said vector of post-suppression coefficients (F·G n ). a) converting said 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 of frequency spectral speech components; b) determining a vector of noise suppression coefficients (G n ) based on said first vector of frequency spectral speech components; c) determining a vector of estimated frequency noise components (λ n ) based on the first vector of frequency spectral speech components; d) determining a vector of enhanced speech spectral components (X n ) as a product of said first vector of frequency spectral speech components and said vector of noise suppression coefficients (G n ); e) determining a speech-versus-noise relationship (p) based on the vector of enhanced speech spectral components (X n ), and on the vector of estimated frequency noise components (λ n ); f) determining a vector of post-suppression coefficients (F·G n ); and g) weighting said second vector of frequency spectral speech components by said vector of post-suppression coefficients (F·G n ), (f1) determining a first correction factor (F U ) based on the vector of enhanced speech spectral components (X n ), the vector of estimated frequency noise components (λ n ) and the speech-versus-noise relationship (p), and (f2) calculating said vector of post-suppression coefficients (F·G n ) based on said first correction factor (F U ) and a predetermined second correction factor (F V ), by combining said first and said second correction factors (F U , F V ) to produce a combined correction factor (F), and by weighting said vector of noise suppression coefficients (G n ) by said combined correction factor (F) to produce said vector of post-suppression coefficients (F·G n ). <EOS>