Invention Grant
- Patent Title: Optimizations to decoding of WFST models for automatic speech recognition
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Application No.: US15615799Application Date: 2017-06-06
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Publication No.: US10127902B2Publication Date: 2018-11-13
- Inventor: Joachim Hofer , Georg Stemmer
- Applicant: Intel Corporation
- Applicant Address: US CA Santa Clara
- Assignee: Intel Corporation
- Current Assignee: Intel Corporation
- Current Assignee Address: US CA Santa Clara
- Agency: Nicholson De Vos Webster & Elliott LLP
- Main IPC: G10L15/02
- IPC: G10L15/02 ; G10L15/14 ; G10L15/06

Abstract:
A method in a computing device for decoding a weighted finite state transducer (WFST) for automatic speech recognition is described. The method includes sorting a set of one or more WFST arcs based on their arc weight in ascending order. The method further includes iterating through each arc in the sorted set of arcs according to the ascending order until the score of the generated token corresponding to an arc exceeds a score threshold. The method further includes discarding any remaining arcs in the set of arcs that have yet to be considered.
Public/Granted literature
- US20180025720A1 OPTIMIZATIONS TO DECODING OF WFST MODELS FOR AUTOMATIC SPEECH RECOGNITION Public/Granted day:2018-01-25
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