Abstract: A computer-implemented method for acoustic beam tracing in a three dimensional space, wherein a set of beams is a representation of a physical wave phenomenon. The method comprises receiving information regarding a beam and objects potentially intersecting the beam; executing beam-triangle intersection tests; dividing the beam into partial beams; executing beam-triangle intersection tests, with respect to the partial beams; dividing the partial beams into smaller partial beams; approximating the smaller partial beams with rays; creating delimited smaller partial beams; and applying merging of the delimited smaller partial beams.

Abstract: A computer-implemented method for speech recognition, comprising the steps of: registering (201) by means of an input device (102A), electrical signal representing speech and converting the signal to frequency or time-frequency domain (202), analyzing the signal in an analysis module based on Dynamic Bayesian Network (205) configured to generate hypotheses of words (W) and their probabilities on the basis of observed signal features (OA, OV), recognizing (209) a text corresponding to the electrical signal representing speech on the basis of certain word (W) hypotheses and their probabilities.

Abstract: A computer-implemented method for providing a dialog with a user, the method comprising the steps of: (a) creating (501) dialog's plot scenario as a narrative graph structure containing the dialogs; (b) assigning (502) coefficients of dialog transitions maps to narrative graph nodes; (c) providing (503) speech input for recognition in a given context and dialog phase represented by current narrative graph node; (d) applying (504) algorithm for updating dialog coefficients based on user's speech or user's other behavior; (e) applying (505) at least one fuzzy logic algorithm which using user speech, and other coefficients on the transition map, determines transition to another narrative graph node (phase of a dialog or a plot), or updates a position on the transition map continuing the dialog in the same narrative graph node (f) determining (507) a response based on coefficients of the narrative graph; (g) repeating steps (c) to (f) for a particular narrative graph node until a transition is decided in step (e)

Abstract: A computer-implemented method for speech recognition, comprising the steps of: registering (201) by means of an input device (102A), electrical signal representing speech and converting the signal to frequency or time-frequency domain (202), analyzing the signal in an analysis module based on Dynamic Bayesian Network (205) configured to generate hypotheses of words (W) and their probabilities on the basis of observed signal features (OA, OV), recognizing (209) a text corresponding to the electrical signal representing speech on the basis of certain word (W) hypotheses and their probabilities.

Abstract: A computer-implemented method for providing a dialog with a user, the method comprising the steps of: (a) creating (501) dialog's plot scenario as a narrative graph structure containing the dialogs; (b) assigning (502) coefficients of dialog transitions maps to narrative graph nodes; (c) providing (503) speech input for recognition in a given context and dialog phase represented by current narrative graph node; (d) applying (504) algorithm for updating dialog coefficients based on user's speech or user's other behavior; (e) applying (505) at least one fuzzy logic algorithm which using user speech, and other coefficients on the transition map, determines transition to another narrative graph node (phase of a dialog or a plot), or updates a position on the transition map continuing the dialog in the same narrative graph node (f) determining (507) a response based on coefficients of the narrative graph; (g) repeating steps (c) to (f) for a particular narrative graph node until a transition is decided in step (e)

Abstract: A computer-implemented method for beam tracing, wherein a set of beams is a representation of a physical wave phenomenon, the method comprising: receiving information regarding a beam and potentially intersecting objects; executing beam-triangle intersection tests; discarding elements, for which an intersection test is negative; dividing the beam into smaller partial beams; providing data for parallel processing; discarding of triangles with respect to partial beams; dividing the partial beams into smaller partial beams; approximating the smaller partial beams with rays; for each ray finding the closest triangle if such a triangle exists; creating delimited smaller partial beams; selectively applying merging of smaller partial beams previously delimited.