Invention Grant
- Patent Title: Cognitive music engine using unsupervised learning
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Application No.: US16443802Application Date: 2019-06-17
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Publication No.: US11562722B2Publication Date: 2023-01-24
- Inventor: Inseok Hwang , Jente B Kuang , Janani Mukundan
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agent Jeffrey S LaBaw; Brian Welle; William Stock
- Main IPC: G10H1/00
- IPC: G10H1/00 ; G06N3/08 ; G06N3/04 ; G06N5/04

Abstract:
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.
Public/Granted literature
- US20190304419A1 COGNITIVE MUSIC ENGINE USING UNSUPERVISED LEARNING Public/Granted day:2019-10-03
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