DETECTING AUDIO DEEPFAKES THROUGH ACOUSTIC PROSODIC MODELING

Various embodiments of the present disclosure provide for detecting audio deepfakes through acoustic prosodic modeling. In one example, an embodiment provides for extracting one or more prosodic features from an audio sample and classifying the audio sample as a deepfake audio sample or an organic a...

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Hauptverfasser:	Traynor, Patrick G, Butler, Kevin, Gates, Carrie, Warren, Kevin S, Olszewski, Daniel, Layton, Seth
Format:	Patent
Sprache:	eng
Schlagworte:	ACOUSTICS MUSICAL INSTRUMENTS PHYSICS SPEECH ANALYSIS OR SYNTHESIS SPEECH OR AUDIO CODING OR DECODING SPEECH OR VOICE PROCESSING SPEECH RECOGNITION
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creator	Traynor, Patrick G Butler, Kevin Gates, Carrie Warren, Kevin S Olszewski, Daniel Layton, Seth
description	Various embodiments of the present disclosure provide for detecting audio deepfakes through acoustic prosodic modeling. In one example, an embodiment provides for extracting one or more prosodic features from an audio sample and classifying the audio sample as a deepfake audio sample or an organic audio sample by applying a machine learning model to the one or more prosodic features. The one or more prosodic features can be indicative of one or more prosodic characteristics associated with human speech. Additionally, the machine learning model can be configured as a classification-based detector for audio deepfakes.
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subjects	ACOUSTICS MUSICAL INSTRUMENTS PHYSICS SPEECH ANALYSIS OR SYNTHESIS SPEECH OR AUDIO CODING OR DECODING SPEECH OR VOICE PROCESSING SPEECH RECOGNITION
title	DETECTING AUDIO DEEPFAKES THROUGH ACOUSTIC PROSODIC MODELING
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