The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Aug. 02, 2022

Filed:

Jul. 08, 2021
Applicant:

Sas Institute Inc., Cary, NC (US);

Inventors:

Xiaozhuo Cheng, Beijing, CN;

Xu Yang, Cary, NC (US);

Xiaolong Li, Cary, NC (US);

Biljana Belamaric Wilsey, Cary, NC (US);

Haipeng Liu, Beijing, CN;

Jared Peterson, Cary, NC (US);

Assignee:

SAS INSTITUTE INC., Cary, NC (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/02 (2006.01); G06N 7/00 (2006.01); G10L 15/04 (2013.01); G10L 15/16 (2006.01); G10L 15/18 (2013.01); G10L 15/197 (2013.01); G10L 15/22 (2006.01); G10L 15/30 (2013.01);
U.S. Cl.
CPC ...
G10L 15/197 (2013.01); G06N 3/02 (2013.01); G06N 7/005 (2013.01); G10L 15/04 (2013.01); G10L 15/16 (2013.01); G10L 15/1815 (2013.01); G10L 15/22 (2013.01); G10L 15/30 (2013.01);
Abstract

An apparatus includes processor(s) to: generate a set of candidate n-grams based on probability distributions from an acoustic model for candidate graphemes of a next word most likely spoken following at least one preceding word spoken within speech audio; provide the set of candidate n-grams to multiple devices; provide, to each node device, an indication of which candidate n-grams are to be searched for within the n-gram corpus by each node device to enable searches for multiple candidate n-grams to be performed, independently and at least partially in parallel, across the node devices; receive, from each node device, an indication of a probability of occurrence of at least one candidate n-gram within the speech audio; based on the received probabilities of occurrence, identify the next word most likely spoken within the speech audio; and add the next word most likely spoken to a transcript of the speech audio.


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