Predicate |
Object |
assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_e757fd4fedc4fe825bb81b1b466a0947 |
classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G10H2220-101 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G10H2210-081 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G10H2210-115 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G10H2210-131 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G10H2250-311 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G10H2210-565 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G10H2210-125 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G10H2210-111 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G10H2240-085 |
classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-047 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G10H1-0025 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-088 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N5-04 |
classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G10H1-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08 |
filingDate |
2015-10-12-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
grantDate |
2017-07-25-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_9825ed99f543f22b0c795a98972977b3 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_c6cbb3a519bfd64211643f8c9a19e823 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_4cec9b0029cd7ab9fbdd70f4986d95c2 |
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. |
isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-10490173-B2 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-10599975-B2 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2017047054-A1 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2019116352-A1 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-10002597-B2 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2019116354-A1 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110264984-B http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110264984-A 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 |
priorityDate |
2015-10-12-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type |
http://data.epo.org/linked-data/def/patent/Publication |