Abstract: A method for pre-processing speech, in particular for recognizing speech, including receiving a speech signal, separating a spectrum of said speech signal into a number of predetermined frequency sub-bands, analyzing said speech signal within each of said frequency sub-bands, generating respective band-dependent acoustic feature data for each of said respective frequency sub-bands, deriving band-dependent likelihoods for occurrences of speech elements or within said speech signal based on said band-dependent acoustic feature data, analyzing said speech signal within said spectrum, generating full-band acoustic feature data, which are at least in part representative for said speech signal with respect to said spectrum, deriving a full-band likelihood for occurrences of speech elements or of sequences thereof within said speech signal based on said full-band acoustic feature data, deriving an overall likelihood for occurrences of speech elements within said speech signal based on said band-dependent likelihoods

Abstract: The invention provides a 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 (F1, . . . , FN), analyzing said speech signal (S) within each of said frequency sub-bands (F1, . . . , FN), thereby generating respective band-dependent acoustic feature data (O1, . . . , ON) for each of said respective frequency sub-bands (F1, . . . , FN), which band-dependent acoustic feature data (O1, . . . ON) are at least in part representative for said speech signal (S) with respect to a respective frequency sub-band (F1, . . . , FN), deriving band-dependent likelihoods (b1, . . . , bN) for occurrences of speech elements (P1, . . . , Pm) or of sequences thereof within said speech signal (S) based on said band-dependent acoustic feature data (O1, . . .