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:
May. 28, 2024

Filed:

Aug. 24, 2020
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Joel Shor, Mountain View, CA (US);

Ronnie Maor, Mountain View, CA (US);

Oran Lang, Mountain View, CA (US);

Omry Tuval, Mountain View, CA (US);

Marco Tagliasacchi, Mountain View, CA (US);

Ira Shavitt, Mountain View, CA (US);

Felix de Chaumont Quitry, Mountain View, CA (US);

Dotan Emanuel, Mountain View, CA (US);

Aren Jansen, Mountain View, CA (US);

Assignee:

Google LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G10L 25/30 (2013.01); G06F 18/21 (2023.01); G06N 3/084 (2023.01); G06N 3/088 (2023.01); G06N 5/046 (2023.01); G10L 25/48 (2013.01);
U.S. Cl.
CPC ...
G10L 25/30 (2013.01); G06F 18/217 (2023.01); G06N 3/084 (2013.01); G06N 3/088 (2013.01); G06N 5/046 (2013.01); G10L 25/48 (2013.01);
Abstract

Examples relate to on-device non-semantic representation fine-tuning for speech classification. A computing system may obtain audio data having a speech portion and train a neural network to learn a non-semantic speech representation based on the speech portion of the audio data. The computing system may evaluate performance of the non-semantic speech representation based on a set of benchmark tasks corresponding to a speech domain and perform a fine-tuning process on the non-semantic speech representation based on one or more downstream tasks. The computing system may further generate a model based on the non-semantic representation and provide the model to a mobile computing device. The model is configured to operate locally on the mobile computing device.


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