Invention Grant
- Patent Title: Speaker verification computer system with textual transcript adaptations of universal background model and enrolled speaker model
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Application No.: US16084328Application Date: 2016-03-23
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Publication No.: US10418037B2Publication Date: 2019-09-17
- Inventor: Volodya Grancharov , Erlendur Karlsson , Harald Pobloth , Sigurdur Sverrisson
- Applicant: Telefonaktiebolaget LM Ericsson (publ)
- Applicant Address: SE Stockholm
- Assignee: Telefonaktiebolaget LM Ericsson (publ)
- Current Assignee: Telefonaktiebolaget LM Ericsson (publ)
- Current Assignee Address: SE Stockholm
- Agency: Sage Patent Group
- International Application: PCT/EP2016/056373 WO 20160323
- International Announcement: WO2017/162281 WO 20170928
- Main IPC: G10L15/00
- IPC: G10L15/00 ; G10L17/02 ; G10L15/26 ; G10L17/04 ; G10L17/20 ; G10L17/06 ; G10L17/00

Abstract:
A sampled speech data sequence contains words spoken by a speaker. A sequence of feature vectors is generated characterizing spectral distribution of sampled speech data. A textual transcript of the words spoken by the speaker is obtained. Data structures of a universal background model of a Gaussian mixture model (UBM-GMM) and of an Enrolled speaker Gaussian mixture model (ENR-GMM) are adapted responsive to the textual transcript, to generate an adapted UBM-GMM and an adapted ENR-GMM, respectively. An enrolled speaker probability is generated based on the sequence of feature vectors and the adapted ENR-GMM, and a universal speaker probability is generated based on the sequence of feature vectors and the adapted UBM-GMM. A speaker verification indication of whether the speaker is an enrolled speaker is generated by comparing the enrolled speaker probability to the universal speaker probability.
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