Cognitive music engine using unsupervised learning

A method for generating a musical composition based on user input is described. A first set of musical characteristics from a first input musical piece is received as an input vector. The first set of musical characteristics is perturbed to create a perturbed input vector as input in a first set of...

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Bibliographic Details
Main Authors Kuang, Jente B, Mukundan, Janani, Hwang, Inseok
Format Patent
LanguageEnglish
Published 24.01.2023
Subjects
ACOUSTICS
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTROPHONIC MUSICAL INSTRUMENTS
MUSICAL INSTRUMENTS
PHYSICS
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Summary:A method for generating a musical composition based on user input is described. A first set of musical characteristics from a first input musical piece is received as an input vector. The first set of musical characteristics is perturbed to create a perturbed input vector as input in a first set of nodes in a first visible layer of an unsupervised neural net. The unsupervised neural net comprised of a plurality of computing layers, each computing layer composed of a respective set of nodes. The unsupervised neural net is operated to calculate an output vector from a higher level hidden layer in the unsupervised neural net. The output vector is used to create an output musical piece.
Bibliography:Application Number: US201916443802