COMPUTATIONAL MUSIC-TEMPO ESTIMATION

Patent №

US 7,645,929

Granted

2010-01-12

Filed 2006

Owner

HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.

Lab

AI components

1

ml

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

11519545

Various method and system embodiments of the present invention are directed to computational estimation of a tempo for a digitally encoded musical selection. In certain embodiments of the present invention, described below, a short portion of a musical selection is analyzed to determine the tempo of the musical selection. The digitally encoded musical selection sample is computationally transformed to produce a power spectrum corresponding to the sample, in turn transformed to produce a two-dimensional strength-of-onset matrix. The two-dimensional strength-of-onset matrix is then transformed into a set of strength-of-onset/time functions for each of a corresponding set of frequency bands. The strength-of-onset/time functions are then analyzed to find a most reliable onset interval that is transformed into an estimated tempo returned by the analysis.

Machine learningG10H 1/40G10H 2210/076

AI classification

Machine learning0.84
Speech0.32
Evolutionary computation0.06
Vision0.03
Natural language0.02
Knowledge representation0.00
AI hardware0.00
Planning0.00

Ownership

HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.

assignment · 183050274

Assignors

CHANG, YU-YAO, SAMADANI, RAMIN, ZHANG, TONG, WIDDOWSON, SIMON

On an employer assignment, the assignors are typically the inventors.

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