AUTOMATIC IDENTIFICATION OF SOUND RECORDINGS

• US 20080201140A1
• Filed: 02/04/2008
• Published: 08/21/2008
• Est. Priority Date: 07/20/2001
• Status: Active Grant

• Current Assignee: Gracenote, Inc. (RR Donnelley & Sons Company)
• Original Assignee: Gracenote, Inc. (RR Donnelley & Sons Company)
• Inventors: Cheung, Kwan Fai, Cazzanti, Luca, Sukittanon, Somsak, Venkatachalam, Vidya, Dhillon, Navdeep, Wells, Maxwell
• Granted Patent: US 7,881,931 B2
• Time in Patent Office: Days
• US Class Current: 704/231
• CPC Class Codes: G06F 16/40 of multimedia data, e.g. slideshows comprising image and additional audio data retrieval of still image data G06F16/50; retrieval of audio data G06F16/60; retrieval of video data G06F16/70
• CPC Class Codes: G06F 16/634 Query by example, e.g. query by humming
• CPC Class Codes: G06F 16/683 using metadata automatically derived from the content
• CPC Class Codes: G10L 15/26 Speech to text systems G10L15/08 takes precedence

Abstract

Copies of original sound recordings are identified by extracting features from the copy, creating a vector of those features, and comparing that vector against a database of vectors. Identification can be performed for copies of sound recordings that have been subjected to compression and other manipulation such that they are not exact replicas of the original. Computational efficiency permits many hundreds of queries to be serviced at the same time. The vectors may be less than 100 bytes, so that many millions of vectors can be stored on a portable device.

Claims

1. A method of identifying recordings, comprising:

extracting at least one candidate fingerprint from at least one portion of an unidentified recording; and

searching for a match between at least one value derived from the at least one candidate fingerprint and at least one value in at least one reference fingerprint among a plurality of reference fingerprints.