Patent ID: 11941097
Assignee: ID R&D INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 2:
3. The method of claim 1, wherein computing the anti-spoofing confidence score comprises:
extracting, from the signal, a first Fast Fourier Transform (FFT) feature or a first Discrete cosine transform (DCT) feature and feeding said feature to a first pre-trained deep neural network of the at least one pre-trained neural network to assign a first confidence score of the at least one confidence score to the signal;
comparing the assigned first confidence score to a predefined threshold to detect whether the received signal is spoofed;
if the speech signal is detected as not spoofed, extracting, from the signal, a second Fast Fourier Transform (FFT) feature or a second Discrete cosine transform (DCT) feature and feeding said feature to a second pre-trained deep neural network of the at least one pre-trained neural network to assign a second confidence score of the at least one confidence score to the signal;
computing a first total confidence score based on the assigned first confidence score and the assigned second confidence score;
comparing the computed first total confidence score to a predefined threshold to detect whether the received signal is spoofed;
if the speech signal is detected as not spoofed, applying a pre-trained deep convolutional network (DCN) of the at least one pre-trained neural network based on an end-to-end architecture to the signal to assign a third confidence score of the at least one confidence score to the signal;
computing the anti-spoofing confidence score based on the computed first total confidence score and the assigned third confidence score.