The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jun. 18, 2024

Filed:

Apr. 06, 2020
Applicant:

Pindrop Security, Inc., Atlanta, GA (US);

Inventors:

Khaled Lakhdhar, Atlanta, GA (US);

Parav Nagarsheth, Atlanta, GA (US);

Tianxiang Chen, Atlanta, GA (US);

Elie Khoury, Atlanta, GA (US);

Assignee:

Pindrop Security, Inc., Atlanta, GA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 9/40 (2022.01); G06F 17/18 (2006.01); G06N 3/045 (2023.01); G06N 3/084 (2023.01); G06N 20/10 (2019.01); G10L 17/00 (2013.01); G10L 17/04 (2013.01); G10L 17/26 (2013.01); G10L 19/26 (2013.01); H04L 65/75 (2022.01);
U.S. Cl.
CPC ...
H04L 63/1466 (2013.01); G06F 17/18 (2013.01); G06N 3/045 (2023.01); G06N 3/084 (2013.01); G06N 20/10 (2019.01); G10L 17/00 (2013.01); G10L 17/04 (2013.01); G10L 17/26 (2013.01); G10L 19/26 (2013.01); H04L 65/75 (2022.05);
Abstract

Embodiments described herein provide for automatically detecting whether an audio signal is a spoofed audio signal or a genuine audio signal. A spoof detection system can include an audio signal transforming front end and a classification back end. Both the front end and the back end can include neural networks that can be trained using the same set of labeled audio signals. The audio signal transforming front end can include a one or more neural networks for per-channel energy normalization transformation of the audio signal, and the back end can include a convolution neural network for classification into spoofed or genuine audio signal. In some embodiments, the transforming audio signal front end can include one or more neural networks for bandpass filtering of the audio signals, and the back end can include a residual neural network for audio signal classification into spoofed or genuine audio signal.


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