Invention Grant
- Patent Title: Dimensionality reduction of baum-welch statistics for speaker recognition
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Application No.: US15709232Application Date: 2017-09-19
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Publication No.: US10553218B2Publication Date: 2020-02-04
- Inventor: Elie Khoury , Matthew Garland
- 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: Dentons US LLP
- Agent Eric L. Sophir
- Main IPC: G10L17/00
- IPC: G10L17/00 ; G10L17/18 ; G10L17/02 ; G10L17/06

Abstract:
In a speaker recognition apparatus, audio features are extracted from a received recognition speech signal, and first order Gaussian mixture model (GMM) statistics are generated therefrom based on a universal background model that includes a plurality of speaker models. The first order GMM statistics are normalized with regard to a duration of the received speech signal. The deep neural network reduces a dimensionality of the normalized first order GMM statistics, and outputs a voiceprint corresponding to the recognition speech signal.
Public/Granted literature
- US20180082691A1 DIMENSIONALITY REDUCTION OF BAUM-WELCH STATISTICS FOR SPEAKER RECOGNITION Public/Granted day:2018-03-22
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