http://rdf.ncbi.nlm.nih.gov/pubchem/patent/KR-20130133858-A

Outgoing Links

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assignee http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_65cd311462d5f581e2d86d8e2edfaa4d
classificationCPCAdditional http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G10L15-24
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http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G10L15-34
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G10L25-03
classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G10L15-04
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classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G10L15-08
filingDate 2011-11-02-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_c346e1e3c747a3c780a912bacdf4c0d1
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publicationDate 2013-12-09-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber KR-20130133858-A
titleOfInvention Boundary detection of speech syllables / vowels / sound using auditory cue
abstract When detecting syllables or vowels or sound boundaries during speech, an auditory spectrum can be determined for an input window of sound, and one or more multi-scale features can be extracted from the auditory spectrum. Each multi-scale feature can be extracted using a separate two-dimensional spectral-time acceptance filter. One or more feature maps corresponding to one or more multi-scale features may be generated, and an auditory gist vector may be extracted from each of the one or more feature maps. The cumulative gist vector may be obtained through augmenting each auditory gist vector extracted from one or more feature maps. One or more syllables or vowels or sound boundaries in the input window of the sound may be detected by using a machine learning algorithm to map the cumulative gist vector to the boundary characteristics of the one or more syllables or vowels or monotones.
isCitedBy http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-9626956-B2
priorityDate 2011-04-01-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

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Total number of triples: 21.