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filingDate 2015-10-12-04:00^^<http://www.w3.org/2001/XMLSchema#date>
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publicationDate 2017-07-25-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber US-9715870-B2
titleOfInvention Cognitive music engine using unsupervised learning
abstract A method for generating a musical composition based on user input is described. A first set of musical characteristics is extracted from a first input musical piece. The first set of music characteristics is prepared as an input vector into an unsupervised neural net comprised of a plurality of computing layers by perturbing the first set of musical characteristics according to a user intent expressed in the user input to create a perturbed vector. The perturbed vector is input into the first set of nodes of the unsupervised neural net. The unsupervised neural net is operated to calculate an output vector from a highest set of nodes. The output vector is used to create an output musical piece.
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http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2019116352-A1
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http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11562722-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-10699195-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2019304419-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2018277078-A1
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