1. Method for pre-processing speech, in particular in a method for recognizing speech, comprising the steps of: receiving a speech signal (S), separating a spectrum (F) of said speech signal (S) into a given number (N) of predetermined frequency sub-bands (F 1,..., F N ), analyzing said speech signal (S) within each of said frequency sub-bands (F 1,..., F N ), thereby generating respective band-dependent acoustic feature data (O 1,..., O N ) for each of said respective frequency sub-bands (F 1,..., F N ), which band-dependent acoustic feature data (O 1,..., O N ) are at least in part representa-tive for said speech signal (S) with respect to a respective frequency sub-band (F 1,..., F N ), deriving band-dependent likelihoods (b 1,..., b N ) for occurrences of speech elements (P1,..., Pm) or of sequences thereof within said speech signal (S) based on said band-dependent acoustic feature data (O 1,..., O N ) and/or a derivative thereof, analyzing said speech signal (S) within said entire spectrum (F), thereby generating full-band acoustic feature data (FBE-F; FFBE; FBE-F-SSUB; O F,SSUB ), which are at least in part representative for said speech signal (S) with respect to said entire spectrum (F), deriving a full-band likelihood (B FF ; B SSUB ) for occurrences of speech elements (P1,..., Pm) or of sequences thereof within said speech signal (S) based on said full-band acoustic feature data (FBE-F; FFBE; FBE-F-SSUB; O F,SSUB ) and/or a derivative thereof, deriving an overall likelihood (B) for occurrences of speech elements (P1..., Pm) or of sequences thereof within said speech signal (S) based on said band-dependent likelihoods (b 1,..., b N ) and said full-band likelihood (B FF ; B SSUB ).