Abstract: The present invention is related to a method for coding excitation signal of a target speech comprising the steps of: extracting from a set of training normalized residual frames, a set of relevant normalized residual frames, said training residual frames being extracted from a training speech, synchronized on Glottal Closure Instant(GCI), pitch and energy normalized; determining the target excitation signal of the target speech; dividing said target excitation signal into GCI synchronized target frames; determining the local pitch and energy of the GCI synchronized target frames; normalizing the GCI synchronized target frames in both energy and pitch, to obtain target normalized residual frames; determining coefficients of linear combination of said extracted set of relevant normalized residual frames to build synthetic normalized residual frames close to each target normalized residual frames; wherein the coding parameters for each target residual frames comprise the determined coefficients.

Abstract: The present invention is related to a method to determine an artificial limb movement comprising the steps of: providing an EEG input training dataset; providing an output prosthetic limb movement training dataset corresponding to said EEG input training dataset; providing a dynamic recurrent neural network (DRNN) comprising a convergence acceleration algorithm; training said DRNN with said input and output datasets to define synaptic weights Wi-j, between neurons of said DRNN; determining from any EEG input dataset the artificial limb movement using the output generated by the trained DRNN in response to said EEG input dataset.

Abstract: The present invention is related to a method for coding excitation signal of a target speech comprising the steps of: extracting from a set of training normalised residual frames, a set of relevant normalised residual frames, said training residual frames being extracted from a training speech, synchronised on Glottal Closure Instant (GCI), pitch and energy normalised; determining the target excitation signal of the target speech; dividing said target excitation signal into GCI synchronised target frames; determining the local pitch and energy of the GCI synchronised target frames; normalising the GCI synchronised target frames in both energy and pitch, to obtain target normalised residual frames; determining coefficients of linear combination of said extracted set of relevant normalised residual frames to build synthetic normalised residual frames close to each target normalised residual frames; wherein the coding parameters for each target residual frames comprise the determined coefficients.

Abstract: The present invention is related to a method for estimating from an input signal the resonance frequencies of a system modelled as a source and a filter, comprising the steps of—determining the Z-transform of the input signal,—calculating the differential-phase spectrum of the Z-transformed input signal, whereby the Z-transform is evaluated on a circle centered around the origin of the Z-plane,—detecting the peaks on said differential-phase spectrum,—attributing the peaks to either the source or the filter,—estimating the resonance frequencies from the peaks.

Abstract: The present invention is related to a method for estimating from an input signal the resonance frequencies of a system modelled as a source and a filter, comprising the steps of—determining the Z-transform of the input signal,—calculating the differential-phase spectrum of the Z-transformed input signal, whereby the Z-transform is evaluated on a circle centered around the origin of the Z-plane,—detecting the peaks on said differential-phase spectrum,—attributing the peaks to either the source or the filter,—estimating the resonance frequencies from the peaks.

Abstract: Method envelope-invariant for audio signal synthesis from elementary audio waveforms stored in a dictionary wherein:the waveforms are perfectly periodic, and stored as one of their period,synthesis is obtained by overlap-adding of the waveforms obtained from time-domain repetition of the periodic waveforms with a weighting window whose size is approximately two times the period of the signals to weight, and whose relative position inside of the period is fixed to any value identical for all the periods, each extracted from a reharmonized and thus periodic waveform, obtained by modifying, without changing the spectral envelope, the frequencies and amplitudes of harmonics in the spectrum of a frame of the original continuous speech waveform,whereby the time shift between two successive waveforms obtained by weighting the original signals is set to the imposed fundamental frequency of the signal to synthesize.