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:
Mar. 04, 2025

Filed:

Oct. 13, 2021
Applicant:

Interactions Llc, Franklin, MA (US);

Inventors:

Mahnoosh Mehrabani, North Bethesda, MD (US);

Srinivas Bangalore, Morristown, NJ (US);

Assignee:

Interactions LLC, Franklin, MA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/18 (2013.01); G10L 15/02 (2006.01); G10L 15/06 (2013.01); G10L 15/08 (2006.01);
U.S. Cl.
CPC ...
G10L 15/1815 (2013.01); G10L 15/02 (2013.01); G10L 15/063 (2013.01); G10L 15/083 (2013.01); G10L 15/1807 (2013.01); G10L 2015/0636 (2013.01);
Abstract

A task-oriented dialog system determines an endpoint in a user utterance by receiving incremental portions of a user utterance that is provided in real time during a task-oriented communication session between a user and a virtual agent (VA). The task-oriented dialog system recognizes words in the incremental portions using an automated speech recognition (ASR) model and generates semantic information for the incremental portions of the utterance by applying a natural language processing (NLP) model to the recognized words. An acoustic-prosodic signature of the incremental portions of the utterance is generated using an acoustic-prosodic model. The task-oriented dialog system can generate a feature vector that represents the incrementally recognized words, the semantic information, the acoustic-prosodic signature, and corresponding confidence scores of the model outputs. A model is applied to the feature vector to identify a likely endpoint in the user utterance.


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