Predicate |
Object |
assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_47c60df922695faa9b7e8cac624d2c5d http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_86cdb34a896c1340ee51d81c3c989e35 http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_86df70be6baafcc380c5c26c307c005b http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_ef790b9d996a6a5f3a862e56aeac7136 |
classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G10H2240-311 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G10H2210-066 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G10H2250-015 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G10H2240-141 |
classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F16-683 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G10H1-0008 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F17-30743 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G10H7-00 |
classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G10H1-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G10H7-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F17-30 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G10H1-18 |
filingDate |
2012-07-26-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
grantDate |
2015-05-05-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_fdda8b068c0491211a093a7de17441b4 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_61318ec60a658b3fbfdf0dae0249f094 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_ae0da0b967004f155dd8beb76c235796 |
publicationDate |
2015-05-05-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber |
US-9024169-B2 |
titleOfInvention |
Music analysis apparatus |
abstract |
A music analysis apparatus has a feature extractor and an analysis processor. The feature extractor generates a time series of feature values from a sequence of notes which is designated as an object of analysis. The analysis processor computes an evaluation index value which indicates a probability that the designated sequence of notes is present in each of a plurality of reference music pieces by applying a probabilistic model to the time series of the feature values generated from the designated sequence of notes. The probabilistic model is generated by machine learning of the plurality of reference music pieces using time series of feature values obtained from the reference music pieces. |
isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-10629173-B2 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11132983-B2 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-10885806-B2 |
priorityDate |
2011-07-27-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type |
http://data.epo.org/linked-data/def/patent/Publication |