Pindrop Security, Inc.

Umair Altaf

Elie Khoury

Payas Gupta

Kailash Patil

Vijay Balasubramaniyan

Tianxiang Chen

Yitao Sun

Svetlana Afanaseva

Lakshay Phatela

Sai Pradeep Peri

Bradley Magnetta

Disclosed are systems and methods including software processes executed by a server that detect audio-based synthetic speech ('deepfakes') in a call conversation. The server applies an NLP engine to transcribe call audio and analyze the text for anomalous patterns to detect synthetic speech. Additionally or alternatively, the server executes a voice “liveness” detection system for detecting machine speech, such as synthetic speech or replayed speech. The system performs phrase repetition detection, background change detection, and passive voice liveness detection in call audio signals to detect liveness of a speech utterance. An automated model update module allows the liveness detection model to adapt to new types of presentation attacks, based on the human provided feedback.

Deepfake detection

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Atlanta, GA, United States of America

Umair Altaf