Invention Grant
- Patent Title: Systems and methods for end-to-end architectures for voice spoofing detection
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Application No.: US16841473Application Date: 2020-04-06
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Publication No.: US12015637B2Publication Date: 2024-06-18
- Inventor: Khaled Lakhdhar , Parav Nagarsheth , Tianxiang Chen , Elie Khoury
- Applicant: PINDROP SECURITY, INC.
- Applicant Address: US GA Atlanta
- Assignee: Pindrop Security, Inc.
- Current Assignee: Pindrop Security, Inc.
- Current Assignee Address: US GA Atlanta
- Agency: Foley & Lardner LLP
- Main IPC: H04L9/40
- IPC: H04L9/40 ; G06F17/18 ; G06N3/045 ; G06N3/084 ; G06N20/10 ; G10L17/00 ; G10L17/04 ; G10L17/26 ; G10L19/26 ; H04L65/75

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.
Public/Granted literature
- US20200322377A1 SYSTEMS AND METHODS FOR END-TO-END ARCHITECTURES FOR VOICE SPOOFING DETECTION Public/Granted day:2020-10-08
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