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:
Nov. 26, 2024

Filed:

Oct. 15, 2021
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Ross Cutler, Clyde Hill, WA (US);

Vishak Gopal, Redmond, WA (US);

Chandan Karadagur Ananda Reddy, Redmond, WA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 18/214 (2023.01); G06N 20/00 (2019.01); G06T 7/00 (2017.01); G06T 7/194 (2017.01); G06V 10/94 (2022.01); G10L 15/06 (2013.01); G10L 21/0232 (2013.01); G10L 25/30 (2013.01); G10L 25/60 (2013.01);
U.S. Cl.
CPC ...
G06F 18/2148 (2023.01); G06N 20/00 (2019.01); G06T 7/0002 (2013.01); G06T 7/194 (2017.01); G06V 10/95 (2022.01); G10L 15/063 (2013.01); G10L 21/0232 (2013.01); G10L 25/30 (2013.01); G10L 25/60 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30168 (2013.01);
Abstract

This document relates to training and employing of quality estimation models to estimate the quality of different signal characteristics. One example includes a method or technique that can be performed on a computing device. The method or technique can include obtaining training signals exhibiting diverse impairments introduced when the training signals are captured or diverse artifacts introduced by different processing characteristics of a plurality of data enhancement models. The method or technique can also include obtaining quality labels for different signal characteristics of the training signals. The method or technique can also include training at least two different quality estimation models to estimate quality of at least two different signal characteristics based at least on the training signals and the quality labels.


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