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:
Feb. 21, 2023

Filed:

May. 14, 2020
Applicant:

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

Inventors:

Guoli Ye, Sammamish, WA (US);

Yan Huang, Redmond, WA (US);

Wenning Wei, Beijing, CN;

Lei He, Beijing, CN;

Eva Sharma, Vancouver, CA;

Jian Wu, Bellevue, WA (US);

Yao Tian, Beijing, CN;

Edward C. Lin, Beijing, CN;

Yifan Gong, Sammamish, WA (US);

Rui Zhao, Bellevue, WA (US);

Jinyu Li, Redmond, WA (US);

William Maxwell Gale, Sunnyvale, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/26 (2006.01); G10L 13/08 (2013.01); G10L 15/06 (2013.01); G10L 15/16 (2006.01);
U.S. Cl.
CPC ...
G10L 15/26 (2013.01); G10L 13/08 (2013.01); G10L 15/063 (2013.01); G10L 15/16 (2013.01);
Abstract

Systems, methods, and devices are provided for generating and using text-to-speech (TTS) data for improved speech recognition models. A main model is trained with keyword independent baseline training data. In some instances, acoustic and language model sub-components of the main model are modified with new TTS training data. In some instances, the new TTS training is obtained from a multi-speaker neural TTS system for a keyword that is underrepresented in the baseline training data. In some instances, the new TTS training data is used for pronunciation learning and normalization of keyword dependent confidence scores in keyword spotting (KWS) applications. In some instances, the new TTS training data is used for rapid speaker adaptation in speech recognition models.


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