Invention Grant
- Patent Title: Voice modification detection using physical models of speech production
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Application No.: US16375785Application Date: 2019-04-04
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Publication No.: US11495244B2Publication Date: 2022-11-08
- Inventor: David Looney , Nikolay D. Gaubitch
- 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: G10L25/00
- IPC: G10L25/00 ; G10L25/51 ; G10L25/90 ; G10L15/06 ; G10L15/22 ; H04M3/436

Abstract:
A computer may train a single-class machine learning using normal speech recordings. The machine learning model or any other model may estimate the normal range of parameters of a physical speech production model based on the normal speech recordings. For example, the computer may use a source-filter model of speech production, where voiced speech is represented by a pulse train and unvoiced speech by a random noise and a combination of the pulse train and the random noise is passed through an auto-regressive filter that emulates the human vocal tract. The computer leverages the fact that intentional modification of human voice introduces errors to source-filter model or any other physical model of speech production. The computer may identify anomalies in the physical model to generate a voice modification score for an audio signal. The voice modification score may indicate a degree of abnormality of human voice in the audio signal.
Public/Granted literature
- US20190311730A1 VOICE MODIFICATION DETECTION USING PHYSICAL MODELS OF SPEECH PRODUCTION Public/Granted day:2019-10-10
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