Patent ID: 6188982
Filing Date: 2001-02-13
Classification: G10L

Abstract:
A method of generating a composite noisy speech model, comprising the steps of:generating frames of current input utterances based on received speech data,determining which of said generated frames are aligned with noisy states to produce a current noise model,re-estimating the produced current noise model by interpolating the number of frames in said current noise model with parameters from a previous noise model,combining the parameters of said current noise model with templates of a corresponding current clean speech model to generate templates of a composite noisy speech model,determining a discrimination function by generating a weighted current noise model based on said composite noisy speech model,determining a distance function by measuring the degree of mis-recognition based on said discrimination function,determining a loss function based on said distance function, said loss function being approximately equal to said distance function,determining a risk function representing the mean value of said loss function, andgenerating a current discriminative noise model based in part on said risk function, such that the input utterances correspond more accurately with the predetermined templates of the composite noisy speech model.