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:
May. 25, 2021

Filed:

Feb. 04, 2019
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Kristi A. Farinelli, Philadelphia, PA (US);

Rahul P. Akolkar, Austin, TX (US);

Brian E. Bissell, Fairfield, CT (US);

Joseph L. Sharpe, III, Waxhaw, NC (US);

Stefan van der Stockt, Austin, TX (US);

Xinyun Zhao, Austin, TX (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/26 (2006.01); G10L 17/22 (2013.01); G06N 3/063 (2006.01);
U.S. Cl.
CPC ...
G10L 15/26 (2013.01); G06N 3/063 (2013.01); G10L 17/22 (2013.01);
Abstract

A method, system, and computer program product are provided for classifying spoken audio content with a cognitive audio classifier by applying a set of distorted audio resources through a set of speech-to-text models STTi (STT. . . STTn) to get a set of interference coherence scores based on the transcript for each speech-to-text model STTi, thereby generating a measured baseline Mi (M. . . Mn) and a practical baseline Pi (P. . . Pn) that is associated with a coherence matrix for the audio effects AEj (AE. . . AEk) that were used to generate the distorted audio resources, thereby generating training data for use in training a cognitive audio classifier which classifies input spoken audio content to measure a quality of detected vocabulary elements from the spoken audio content under the set of audio distortion effects for each speech-to-text model STTi.


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