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:
Jun. 29, 2021

Filed:

Nov. 27, 2019
Applicant:

Amazon Technologies, Inc., Seattle, WA (US);

Inventors:

Liang Li, Mountain View, CA (US);

Wayne Chi, Santa Clara, CA (US);

Rahul Suresh, Mountain View, CA (US);

Dylan Jackson, Newark, CA (US);

Haoting Li, Sunnyvale, CA (US);

Assignee:

Amazon Technologies, Inc., Seattle, WA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G10H 1/18 (2006.01); G10H 1/00 (2006.01); G06F 16/61 (2019.01); G06F 16/11 (2019.01); G06F 16/638 (2019.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
G10H 1/0066 (2013.01); G06F 16/116 (2019.01); G06F 16/61 (2019.01); G06F 16/638 (2019.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G10H 1/0008 (2013.01); G10H 2220/126 (2013.01); G10H 2240/081 (2013.01);
Abstract

Methods and apparatus for providing metrics for the quality, attributes, and relationships of music including AI-generated music. Music classification and visualization methods are described that involve transforming music files into graphical representations, generating a similarity matrix for the music files using structural similarity techniques, and generating visualizations of the relationships among the music files using multidimensional scaling techniques. Qualitative scoring methods for AI-generated music are described that involve classifying the AI-generated music using a multi-genre classifier, generating a similarity metric for the AI-generated music to other genres using structural similarity techniques and multidimensional scaling techniques, and generating a qualitative score for the music using confidence in the classification in combination with the similarity metric.


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