Invention Grant
- Patent Title: Systems and methods for generating disambiguated terms in automatically generated transcriptions including instructions within a particular knowledge domain
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Application No.: US17557901Application Date: 2021-12-21
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Publication No.: US11615783B2Publication Date: 2023-03-28
- Inventor: Ahmad Badary
- Applicant: Suki AI, Inc.
- Applicant Address: US CA Redwood City
- Assignee: Suki AI, Inc.
- Current Assignee: Suki AI, Inc.
- Current Assignee Address: US CA Redwood City
- Agency: Esplin & Associates, PC
- Main IPC: G10L15/06
- IPC: G10L15/06 ; G10L15/05 ; G10L15/26 ; G10L15/02

Abstract:
System and method for generating disambiguated terms in automatically generated transcriptions including instructions within a knowledge domain and employing the system are disclosed. Exemplary implementations may: obtain a set of transcripts related to the knowledge domain representing various speech from users; obtain indications of correlated correct and incorrect transcripts of spoken terms within the knowledge domain; use a vector generation model to generate vectors for individual instances of the transcribed terms in the set of transcripts that are part of the lexicography of the knowledge domain such that a first set of vectors and a second set of vectors are generated that numerically represent the instances of the first correctly transcribed term and the first incorrectly transcribed term, respectively, and in different contexts; train the vector generation model to reduce spatial separation of vectors generated for instances of correlated correct and incorrect transcripts of spoken terms within the knowledge domain.
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