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:
Dec. 05, 2023

Filed:

Apr. 26, 2021
Applicant:

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

Inventors:

Sunando Sengupta, Reading, GB;

Alexandros Neofytou, London, GB;

Eric Chris Wolfgang Sommerlade, Oxford, GB;

Yang Liu, Reading, GB;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); G06T 9/00 (2006.01); G06T 3/60 (2006.01); G10L 19/012 (2013.01); G10L 25/51 (2013.01); G06F 18/21 (2023.01); G10L 19/00 (2013.01);
U.S. Cl.
CPC ...
G06T 9/00 (2013.01); G06F 18/21 (2023.01); G06T 3/60 (2013.01); G10L 19/012 (2013.01); G10L 25/51 (2013.01); G10L 2019/0002 (2013.01);
Abstract

In various embodiments, a computer-implemented method of training a neural network for creating an output signal of different modality from an input signal is described. In embodiments, the first modality may be a sound signal or a visual image and where the output signal would be a visual image or a sound signal, respectively. In embodiments a model is trained using a first pair of visual and audio networks to train a set of codebooks using known visual signals and the audio signals and using a second pair of visual and audio networks to further train the set of codebooks using the augmented visual signals and the augmented audio signals. Further, the first and the second visual networks are equally weighted and where the first and the second audio networks are equally weighted. In aspects of the present disclosure, the set of codebooks comprise a visual codebook, an audio codebook and a correlation codebook. These codebooks are then used to create an visual image from a sound signal and/or a sound signal from a visual image.


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