A method of suppressing noise in a speech signal, comprising: a) converting (1, 2) 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 (8, 9) 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 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 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, and by weighting said vector of noise suppression coefficients (G n) by said combined correction factor to produce said vector of post-suppression coefficients (F·G n). a) converting (1, 2) 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 (8, 9) 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), 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 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, and by weighting said vector of noise suppression coefficients (G n) by said combined correction factor to produce said vector of post-suppression coefficients (F·G n).