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. 18, 2025

Filed:

May. 31, 2022
Applicant:

Tencent America Llc, Palo Alto, CA (US);

Inventors:

Chunlei Zhang, Bellevue, WA (US);

Brian Yan, Palo Alto, CA (US);

Dong Yu, Palo Alto, CA (US);

Assignee:

TENCENT AMERICA LLC, Palo Alto, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 25/78 (2013.01); G06N 3/045 (2023.01); G10L 15/00 (2013.01); G10L 25/30 (2013.01);
U.S. Cl.
CPC ...
G10L 25/78 (2013.01); G06N 3/045 (2023.01); G10L 15/005 (2013.01); G10L 25/30 (2013.01);
Abstract

A method, apparatus, and non-transitory computer-readable medium for automatic speech recognition using conditional factorization for bilingual code-switched and monolingual speech may include receiving an audio observation sequence comprising a plurality of frames, the audio observation sequence including audio in a first language or a second language. The approach may further include mapping the audio observation sequence into a first sequence of hidden representations, the mapping being generated by a first encoder corresponding to the first language and mapping the audio observation sequence into a second sequence of hidden representations, the mapping being generated by a second encoder corresponding to the second language. The approach may further include generating a label-to-frame sequence based on the first sequence of hidden representations and the second sequence of hidden representations, using a joint neural network based model.


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