Invention Grant
- Patent Title: Machine-learning-model based name pronunciation
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Application No.: US17359070Application Date: 2021-06-25
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Publication No.: US12028176B2Publication Date: 2024-07-02
- Inventor: Mastafa Hamza Foufa , Romain Gabriel Paul Rey
- Applicant: Microsoft Technology Licensing, LLC
- Applicant Address: US WA Redmond
- Assignee: Microsoft Technology Licensing, LLC
- Current Assignee: Microsoft Technology Licensing, LLC
- Current Assignee Address: US WA Redmond
- Agency: Alleman Hall & Tuttle LLP
- Main IPC: H04L12/18
- IPC: H04L12/18 ; G06N20/00 ; G10L15/06

Abstract:
A computer-implemented conferencing method is disclosed. A conference session between a user and one or more other conference participants is initiated via a computer conference application. An attribute-specific pronunciation of the user's name is determined via one or more attribute-specific-pronunciation machine-learning models previously trained based at least on one or more attributes of the one or more other conference participants. The attribute-specific pronunciation of the user's name is compared to a preferred pronunciation of the user's name via computer-pronunciation-comparison logic. Based on the attribute-specific pronunciation of the user's name being inconsistent with the preferred pronunciation of the user's name, a pronunciation learning protocol is automatically executed to convey, via the computer conference application, the preferred pronunciation of the user's name to the one or more other conference participants.
Public/Granted literature
- US20220417047A1 MACHINE-LEARNING-MODEL BASED NAME PRONUNCIATION Public/Granted day:2022-12-29
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