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:
Jul. 28, 2026

Filed:

Nov. 15, 2021
Applicant:

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

Inventors:

Haoxuan Li, Beijing, CN;

Rui Jiang, Beijing, CN;

Yang Liu, Beijing, CN;

Edward C Lin, Beijing, CN;

Lei Sun, Beijing, CN;

Che Zhao, Beijing, CN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/01 (2013.01); G10L 15/06 (2013.01); G10L 15/19 (2013.01);
U.S. Cl.
CPC ...
G10L 15/01 (2013.01); G10L 15/063 (2013.01); G10L 15/19 (2013.01);
Abstract

Systems and methods are provided for identifying targeted datasets that are configured to facilitate an improvement in the accuracy of an acoustic model included in the automatic speech recognition system. Systems obtain a obtain a test dataset comprising (i) audio data having natural speech utterances and (ii) a transcription of the natural speech utterances. Systems generate a text-to-speech dataset comprising audio data having synthesized speech utterances based on the transcription of the natural speech utterances. Systems apply the test dataset and the text-to-speech dataset to the acoustic model to obtain a first acoustic model output and a second acoustic model output, respectively. Systems identify a first set of errors in the first acoustic model output and a second set of errors in the second acoustic model output. Finally, based on comparing the first set of errors and the second set of errors, an acoustic model error ratio is generated.


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