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:
Feb. 25, 2025

Filed:

May. 24, 2024
Applicant:

Gracenote, Inc., Emeryville, CA (US);

Inventors:

Alexander Berrian, Emeryville, CA (US);

Matthew James Wilkinson, Emeryville, CA (US);

Robert Coover, Orinda, CA (US);

Assignee:

Gracenote, Inc., New York, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 25/51 (2013.01); G06F 16/683 (2019.01); G10L 25/21 (2013.01);
U.S. Cl.
CPC ...
G06F 16/683 (2019.01); G10L 25/21 (2013.01); G10L 25/51 (2013.01);
Abstract

Methods, apparatus, systems, and articles of manufacture are disclosed to fingerprint an audio signal via exponential normalization. An example apparatus includes an audio segmenter to divide an audio signal into a plurality of audio segments including a first audio segment and a second audio segment, the first audio segment including a first time-frequency bin, the second audio segment including a second time-frequency bin, a mean calculator to determine a first exponential mean value associated with the first time frequency bin based on a first magnitude of the audio signal associated with the first time frequency bin and a second exponential mean value associated with the second time frequency bin based on a second magnitude of the audio signal associated with the second time frequency bin and the first exponential mean value. The example apparatus further includes a bin normalizer to normalize the first time-frequency bin based on the second exponential mean value and a fingerprint generator to generate a fingerprint of the audio signal based on the normalized first time-frequency bins.


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