- Patent Title: Context-aware enrollment for text independent speaker recognition
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Application No.: US15626828Application Date: 2017-06-19
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Publication No.: US10339935B2Publication Date: 2019-07-02
- Inventor: Gokcen Cilingir , Jonathan J. Huang , Narayan Biswal , Mandar S. Joshi
- Applicant: INTEL CORPORATION
- Applicant Address: US CA Santa Clara
- Assignee: INTEL CORPORATION
- Current Assignee: INTEL CORPORATION
- Current Assignee Address: US CA Santa Clara
- Agency: Finch & Maloney PLLC
- Main IPC: G10L15/20
- IPC: G10L15/20 ; G10L17/04 ; G10L17/22 ; G10L17/06 ; G10L15/02 ; G10L25/60

Abstract:
Techniques are provided for training of a text independent (TI) speaker recognition (SR) model. A methodology implementing the techniques according to an embodiment includes measuring context data associated with collected TI speech utterances from a user and identifying the user based on received identity measurements. The method further includes performing a speech quality analysis and a speaker state analysis based on the utterances, and evaluating a training merit value of the utterances, based on the speech quality analysis and the speaker state analysis. If the training merit value exceeds a threshold value, the utterances are stored as training data in a training database. The database is indexed by the user identity and the context data. The method further includes determining whether the stored training data has achieved a sufficiency level for enrollment of a TI SR model, and training the TI SR model for the identified user and context.
Public/Granted literature
- US20180366124A1 CONTEXT-AWARE ENROLLMENT FOR TEXT INDEPENDENT SPEAKER RECOGNITION Public/Granted day:2018-12-20
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