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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.

Patent No.:

US 11380315 B1

PDFFull Text
Date of Patent:
Jul. 05, 2022

Filed:

Mar. 09, 2019

Characterizing accuracy of ensemble models for automatic speech recognition by determining a predetermined number of multiple asr engines based on their historical performance

Applicant:

Cisco Technology, Inc., San Jose, CA (US);

Inventors:

Ahmad Abdulkader, Palo Alto, CA (US);

Mohamed Gamal Mohamed Mahmoud, Santa Clara, CA (US);

Assignee:

CISCO TECHNOLOGY, INC., San Jose, CA (US);

Attorney:

Merchant & Gould P.C.

Primary Examiner:

Farzad Kazeminezhad

Int. Cl.
CPC ...
G10L 15/32 (2013.01); G10L 15/22 (2006.01); G06F 40/194 (2020.01); G10L 25/60 (2013.01); G06K 9/62 (2022.01); G10L 15/06 (2013.01); G10L 15/26 (2006.01);
U.S. Cl.
CPC ...
G10L 15/22 (2013.01); G10L 15/063 (2013.01); G10L 15/26 (2013.01); G10L 15/32 (2013.01); G10L 2015/0635 (2013.01);
Abstract

One embodiment of the present invention sets forth a technique for analyzing a transcription of a recording. The technique includes generating features representing transcriptions produced by multiple automatic speech recognition (ASR) engines from voice activity in the recording and a best transcription of the recording produced by an ensemble model from the transcriptions. The technique also includes applying a machine learning model to the features to produce a score representing an accuracy of the best transcription. The technique further includes storing the score in association with the best transcription.

Find Patent Forward Citations

Abdulkader, Ahmad. (2022). Characterizing accuracy of ensemble models for automatic speech recognition by determining a predetermined number of multiple asr engines based on their historical performance (U.S. Patent No. 11380315). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/11380315

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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