Invention Grant
- Patent Title: Scalable entities and patterns mining pipeline to improve automatic speech recognition
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Application No.: US17313146Application Date: 2021-05-06
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Publication No.: US12087286B2Publication Date: 2024-09-10
- Inventor: Ankur Gupta , Satarupa Guha , Rupeshkumar Rasiklal Mehta , Issac John Alphonso , Anastasios Anastasakos , Shuangyu Chang
- 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: CALFEE, HALTER & GRISWOLD LLP
- Main IPC: G10L15/18
- IPC: G10L15/18 ; G06F16/332 ; G10L15/22 ; G06N5/022 ; G10L15/08

Abstract:
A computing system obtains features that have been extracted from an acoustic signal, where the acoustic signal comprises spoken words uttered by a user. The computing system performs automatic speech recognition (ASR) based upon the features and a language model (LM) generated based upon expanded pattern data. The expanded pattern data includes a name of an entity and a search term, where the entity belongs to a segment identified in a knowledge base. The search term has been included in queries for entities belonging to the segment. The computing system identifies a sequence of words corresponding to the features based upon results of the ASR. The computing system transmits computer-readable text to a search engine, where the text includes the sequence of words.
Public/Granted literature
- US20220358910A1 SCALABLE ENTITIES AND PATTERNS MINING PIPELINE TO IMPROVE AUTOMATIC SPEECH RECOGNITION Public/Granted day:2022-11-10
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