Abstract: A speaker recognition system for assessing the identity of a speaker through a speech signal based on speech uttered by said speaker is provided. The system includes a framing module that subdivides the speech signal over time into a set of frames, and a filtering module that analyzes the frames of the set to discard frames affected by noise and frames which do not comprise a speech, based on a spectral analysis of the frames. A feature extraction module extracts audio features from frames which have not been discarded, and a classification module processes the audio features extracted from the frames which have not been discarded for assessing the identity of the speaker.

Abstract: A speaker recognition system for assessing the identity of a speaker through a speech signal based on speech uttered by said speaker is provided. The system includes a framing module that subdivides the speech signal over time into a set of frames, and a filtering module that analyzes the frames of the set to discard frames affected by noise and frames which do not comprise a speech, based on a spectral analysis of the frames. A feature extraction module extracts audio features from frames which have not been discarded, and a classification module processes the audio features extracted from the frames which have not been discarded for assessing the identity of the speaker.

Abstract: The invention relates to developing a signal to represent each block of an image contained in a frame being interpolated in a motion interpolated system such that the error between the frame being interpolated and the reference frames is minimized without placing any predetermined limitation on the values of either the weights or the displacements employed as motion vectors. The weights and displacements required to achieve the minimization of the interpolation error are jointly determined on a block by block basis. A set of groups having a candidate displacement from each reference frame and, in accordance with an aspect of the invention, their corresponding best weights are determined. An error signal which would result if each member of the set of groups of candidate displacements from each reference frame and their corresponding best weights were employed to represent the block is evaluated.