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:
Jan. 28, 2020

Filed:

Apr. 18, 2017
Applicant:

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

Inventors:

Laura Josefina De La Mora Molina, Jalisco, MX;

Richard B. Finch, New Paltz, NY (US);

Rogelio Fernando Gutierrez Valdes, Jalisco, MX;

Claudia Isabel Sandoval Antunez, Jalisco, MX;

Madeline Vega, Austin, TX (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G07C 5/00 (2006.01); G07C 5/08 (2006.01); G10L 25/51 (2013.01);
U.S. Cl.
CPC ...
G07C 5/006 (2013.01); G07C 5/0808 (2013.01); G07C 5/0816 (2013.01); G07C 5/0841 (2013.01); G10L 25/51 (2013.01);
Abstract

A computer-implemented method is provided for analyzing and classifying automobile sounds. The computer-implemented method includes causing a receiver to receive an audio input, determining whether the audio input is distinct from sounds stored in a library and breaking the audio input up into constituent segments in an event the audio input is distinct from sounds stored in the library. The computer-implemented method further includes determining whether any of the constituent segments are unassociated with known sources and determining whether present conditions, which were in effect during the receiving of the audio input, are similar to prior conditions, which were in effect during a previous audio input reception, in an event constituent segments are unassociated with the known sources. In addition, the computer-implemented method includes matching those constituent segments unassociated with the known sources to remotely stored or recognized sounds in an event the present and prior conditions are similar.


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