Gracenote, Inc. (20240427819). AUDIO IDENTIFICATION BASED ON DATA STRUCTURE
Contents
AUDIO IDENTIFICATION BASED ON DATA STRUCTURE
Organization Name
Inventor(s)
Zafar Rafii of Berkeley CA (US)
Prem Seetharaman of Chicago IL (US)
AUDIO IDENTIFICATION BASED ON DATA STRUCTURE
This abstract first appeared for US patent application 20240427819 titled 'AUDIO IDENTIFICATION BASED ON DATA STRUCTURE
Original Abstract Submitted
example systems and methods are audio identification based on data structure are disclosed. an example apparatus includes memory, and one or more processors to execute instructions to execute a constant q transform on query time slices of query audio, binarize the constant q transformed query time slices, execute a two-dimensional fourier transform on query time windows within the binarized and constant q transformed query time slices to generate two-dimensional fourier transforms of the query time windows, sequentially order the two-dimensional fourier transforms in a query data structure, and identify the query audio as a cover rendition of reference audio based on a comparison between the query data structure and a reference data structure associated with the reference audio.