http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-103714806-B

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Predicate Object
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G10L15-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G10H1-38
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G10L25-54
filingDate 2014-01-07^^<http://www.w3.org/2001/XMLSchema#date>
grantDate 2017-01-04^^<http://www.w3.org/2001/XMLSchema#date>
publicationDate 2017-01-04^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-103714806-B
titleOfInvention A kind of combination SVM and the chord recognition methods of in-dash computer P feature
abstract The invention discloses a kind of combination SVM and the chord recognition methods of in-dash computer P feature, including: audio frequency input and carry out beat-tracking, extract enhancement mode sound level contour feature PCP, the training of support vector machines sorting parameter, two class chords are categorized into the transformation of multiclass chord classification, the identification of chordal type.Chord identification is the basis of automatic music mark, and it turns in song and sing identification, and the field such as music segmentation and Audio Matching has important function.For the problem that the identification of identical chord between different musical instruments is relatively low, use the algorithm combining pitch frequencies cepstrum coefficient (PFCC) improvement tradition sound level contour feature (PCP), and using in-dash computer P feature as new chord identification feature.Test result indicate that and use in-dash computer P aspect ratio to use the chord discrimination of tradition PCP feature to improve 2.5%~6.7%.
priorityDate 2014-01-07^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

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isDiscussedBy http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID2733658
http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID416154610

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