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:
Nov. 13, 2007

Filed:

Aug. 27, 2001
Applicants:

Brian Whitman, New York, NY (US);

Gary W. Flake, Lawrenceville, NJ (US);

Stephen R. Lawrence, New York, NY (US);

Inventors:

Brian Whitman, New York, NY (US);

Gary W. Flake, Lawrenceville, NJ (US);

Stephen R. Lawrence, New York, NY (US);

Assignee:

NEC Laboratories America, Inc., Princeton, NJ (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G10L 15/16 (2006.01); G10H 7/10 (2006.01);
U.S. Cl.
CPC ...
Abstract

The method of the present invention utilizes machine-learning techniques, particularly Support Vector Machines in combination with a neural network, to process a unique machine-learning enabled representation of the audio bitstream. Using this method, a classifying machine is able to autonomously detect characteristics of a piece of music, such as the artist or genre, and classify it accordingly. The method includes transforming digital time-domain representation of music into a frequency-domain representation, then dividing that frequency data into time slices, and compressing it into frequency bands to form multiple learning representations of each song. The learning representations that result are processed by a group of Support Vector Machines, then by a neural network, both previously trained to distinguish among a given set of characteristics, to determine the classification.


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