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:
Aug. 01, 2023

Filed:

Apr. 29, 2021
Applicant:

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

Inventors:

Yu Wu, Beijing, CN;

Jinyu Li, Bellevue, WA (US);

Shujie Liu, Beijing, CN;

Xie Chen, Bellevue, WA (US);

Chengyi Wang, Beijing, CN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/16 (2006.01); G06N 3/08 (2023.01); G10L 15/06 (2013.01); G10L 15/22 (2006.01); G06N 3/044 (2023.01);
U.S. Cl.
CPC ...
G10L 15/16 (2013.01); G06N 3/044 (2023.01); G06N 3/08 (2013.01); G10L 15/063 (2013.01); G10L 15/22 (2013.01);
Abstract

A computing system is configured to generate a transformer-transducer-based deep neural network. The transformer-transducer-based deep neural network comprises a transformer encoder network and a transducer predictor network. The transformer encoder network has a plurality of layers, each of which includes a multi-head attention network sublayer and a feed-forward network sublayer. The computing system trains an end-to-end (E2E) automatic speech recognition (ASR) model, using the transformer-transducer-based deep neural network. The E2E ASR model has one or more adjustable hyperparameters that are configured to dynamically adjust an efficiency or a performance of E2E ASR model when the E2E ASR model is deployed onto a device or executed by the device.


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