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:
Aug. 01, 2023

Filed:

Oct. 07, 2019
Applicant:

Spotify Ab, Stockholm, SE;

Inventors:

Michael Scibor, Brooklyn, NY (US);

Thor Kell, Brooklyn, NY (US);

Rachel Malia Bittner, Brooklyn, NY (US);

Tristan Jehan, Brooklyn, NY (US);

Assignee:

Spotify AB, Stockholm, SE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 3/16 (2006.01); G06F 16/683 (2019.01); G06N 3/048 (2023.01);
U.S. Cl.
CPC ...
G06F 3/165 (2013.01); G06F 16/683 (2019.01); G06N 3/048 (2023.01); G10H 2210/031 (2013.01); G10H 2210/061 (2013.01); G10H 2210/091 (2013.01);
Abstract

A cuepoint determination system utilizes a convolutional neural network (CNN) to determine cuepoint placements within media content items to facilitate smooth transitions between them. For example, audio content from a media content item is normalized to a plurality of beats, the beats are partitioned into temporal sections, and acoustic feature groups are extracted from each beat in one or more of the temporal sections. The acoustic feature groups include at least downbeat confidence, position in bar, peak loudness, timbre and pitch. The extracted acoustic feature groups for each beat are provided as input to the CNN on a per temporal section basis to predict whether a beat immediately following the temporal section within the media content item is a candidate for cuepoint placement. A cuepoint placement is then determined from among the candidate cuepoint placements predicted by the CNN.


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