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:
Apr. 07, 2020

Filed:

Oct. 07, 2019
Applicant:

Verbit Software Ltd., Tel Aviv, IL;

Inventors:

Eric Ariel Shellef, Ramat Gan, IL;

Yaakov Kobi Ben Tsvi, Ramat Hasharon, IL;

Iris Getz, Ramat Hasharon, IL;

Tom Livne, Herzliya, IL;

Elisha Yehuda Rosensweig, Ra'anana, IL;

Assignee:

Verbit Software Ltd., Tel Aviv, IL;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/26 (2006.01); G10L 15/06 (2013.01); G10L 15/01 (2013.01);
U.S. Cl.
CPC ...
G10L 15/26 (2013.01); G10L 15/01 (2013.01); G10L 15/063 (2013.01); G10L 2015/0631 (2013.01); G10L 2015/0638 (2013.01);
Abstract

Hybrid transcription of audio relies on having one or more layers of transcribers who review transcriptions generated by automatic speech recognition (ASR) systems in order to correct errors that are found in the transcriptions. When it comes to determining how much human reviewing is needed, such as determining how many layers of review to use, there is a cost/benefit tradeoff to consider. Some embodiments described herein utilize a machine learning-based approach for estimating quality of hybrid transcription of audio. In one embodiment, a computer generates a transcription of a segment of audio using an ASR system, which is subsequently reviewed by a transcriber. The computer then calculates, based on properties of the review by the transcriber, a value indicative of an expected accuracy of the reviewed transcription. The computer may suggest a second transcriber review the reviewed transcription if the value indicative of the expected accuracy is below a threshold.


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