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:
Nov. 04, 2025

Filed:

Jul. 20, 2023
Applicant:

Alibaba Group Holding Limited, Grand Cayman, KY;

Inventors:

Kai Fan, Sunnyvale, CA (US);

Bo Li, Hangzhou, CN;

Jiayi Wang, Hangzhou, CN;

Assignee:

Alibaba Group Holding Limited, Grand Cayman, KY;

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

Methods and systems are provided for implementing quality estimation for automatic speech recognition, and more specifically training an ASR model, and training a QE model to perform word error rate prediction upon the trained ASR model. The ASR model may be a transformer learning model having an architecture including an encoder including multi-head attention layers, and a memory encoder including a masking multi-head attention layer. The QE model may include a binary classification model and a regression model, where the binary classification model is based on a discrete statistical distribution, and the regression model is based on a continuous statistical distribution. Training the ASR model may produce output having variable word error rates, and the QE model may be trained based on empirical word error rates of the ASR model. The QE model may predict performance of the ASR model without labor-intensive labeling to generate ground truth.


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