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. 14, 2023

Filed:

Dec. 12, 2019
Applicant:

Amazon Technologies, Inc., Seattle, WA (US);

Inventors:

James Claiborne Moore, Boston, MA (US);

Majid Laali, Toronto, CA;

Yasser Gonzalez Fernandez, Toronto, CA;

Siyong Liang, Brookline, MA (US);

Ameya Ashok Limaye, Sunnyvale, CA (US);

Assignee:

Amazon Technologies, Inc., Seattle, WA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/187 (2013.01); G10L 15/22 (2006.01); G10L 15/02 (2006.01); G10L 15/18 (2013.01);
U.S. Cl.
CPC ...
G10L 15/187 (2013.01); G10L 15/02 (2013.01); G10L 15/1815 (2013.01); G10L 15/22 (2013.01); G10L 2015/025 (2013.01); G10L 2015/223 (2013.01);
Abstract

A phonetic search system may pass phonetic information from an automatic speech recognition (ASR) system to a natural language understanding (NLU) system for the latter to leverage when performing entity resolution in the presence of ambiguous interpretations. The ASR system may include an acoustic model and a language model. The acoustic model can process audio data to generate hypotheses that can be mapped to acoustic data; i.e., one or more acoustic units such as phonemes. The language model can process the acoustic units to generate text data representing possible transcriptions of the audio data. ASR/NLU systems may have difficulty interpreting speech when confronted with, for example, homographs, which are words that are spelled the same, but have different meanings. When uncertainty in the final transcription is high, the system can leverage the acoustic data to improve the accuracy of entity resolution.


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