Matches in SemOpenAlex for { <https://semopenalex.org/work/W3211514994> ?p ?o ?g. }
Showing items 1 to 99 of
99
with 100 items per page.
- W3211514994 endingPage "314" @default.
- W3211514994 startingPage "309" @default.
- W3211514994 abstract "Speaker Identification denotes the speech samples of known speaker and it identifies the best matches of the input model. The SGMFC method is the combination of Sub Gaussian Mixture Model (SGMM) with the Mel-frequency Cepstral Coefficients (MFCC) for feature extraction. The SGMFC method minimizes the error rate, memory footprint and also computational throughput measure needs of a medium-vocabulary speaker identification system, supposed for preparation on a transportable or otherwise. Fuzzy C-means and k-means clustering are used in the SGMM method to attain the improved efficiency and their outcomes with parameters such as precision, sensitivity and specificity are compared." @default.
- W3211514994 created "2021-11-22" @default.
- W3211514994 creator A5059954418 @default.
- W3211514994 creator A5085408736 @default.
- W3211514994 date "2021-11-10" @default.
- W3211514994 modified "2023-10-16" @default.
- W3211514994 title "Speaker identification analysis for SGMM with k-means and fuzzy C-means clustering using SVM statistical technique" @default.
- W3211514994 cites W1607072098 @default.
- W3211514994 cites W1873003601 @default.
- W3211514994 cites W1966264494 @default.
- W3211514994 cites W2002311796 @default.
- W3211514994 cites W2006384862 @default.
- W3211514994 cites W2030319559 @default.
- W3211514994 cites W2041823554 @default.
- W3211514994 cites W2068634874 @default.
- W3211514994 cites W2069883713 @default.
- W3211514994 cites W2080794664 @default.
- W3211514994 cites W2091425152 @default.
- W3211514994 cites W2099896715 @default.
- W3211514994 cites W2106581202 @default.
- W3211514994 cites W2109225367 @default.
- W3211514994 cites W2123158946 @default.
- W3211514994 cites W2141401351 @default.
- W3211514994 cites W2150769028 @default.
- W3211514994 cites W2155680790 @default.
- W3211514994 cites W2156566403 @default.
- W3211514994 cites W2162416585 @default.
- W3211514994 cites W2165880886 @default.
- W3211514994 cites W2167638481 @default.
- W3211514994 cites W4541777 @default.
- W3211514994 doi "https://doi.org/10.3233/kes-210073" @default.
- W3211514994 hasPublicationYear "2021" @default.
- W3211514994 type Work @default.
- W3211514994 sameAs 3211514994 @default.
- W3211514994 citedByCount "0" @default.
- W3211514994 crossrefType "journal-article" @default.
- W3211514994 hasAuthorship W3211514994A5059954418 @default.
- W3211514994 hasAuthorship W3211514994A5085408736 @default.
- W3211514994 hasConcept C116834253 @default.
- W3211514994 hasConcept C12267149 @default.
- W3211514994 hasConcept C124101348 @default.
- W3211514994 hasConcept C133892786 @default.
- W3211514994 hasConcept C138885662 @default.
- W3211514994 hasConcept C151989614 @default.
- W3211514994 hasConcept C153180895 @default.
- W3211514994 hasConcept C154945302 @default.
- W3211514994 hasConcept C2777601683 @default.
- W3211514994 hasConcept C2780009758 @default.
- W3211514994 hasConcept C28490314 @default.
- W3211514994 hasConcept C40969351 @default.
- W3211514994 hasConcept C41008148 @default.
- W3211514994 hasConcept C41895202 @default.
- W3211514994 hasConcept C52622490 @default.
- W3211514994 hasConcept C58166 @default.
- W3211514994 hasConcept C59822182 @default.
- W3211514994 hasConcept C61224824 @default.
- W3211514994 hasConcept C73555534 @default.
- W3211514994 hasConcept C86803240 @default.
- W3211514994 hasConceptScore W3211514994C116834253 @default.
- W3211514994 hasConceptScore W3211514994C12267149 @default.
- W3211514994 hasConceptScore W3211514994C124101348 @default.
- W3211514994 hasConceptScore W3211514994C133892786 @default.
- W3211514994 hasConceptScore W3211514994C138885662 @default.
- W3211514994 hasConceptScore W3211514994C151989614 @default.
- W3211514994 hasConceptScore W3211514994C153180895 @default.
- W3211514994 hasConceptScore W3211514994C154945302 @default.
- W3211514994 hasConceptScore W3211514994C2777601683 @default.
- W3211514994 hasConceptScore W3211514994C2780009758 @default.
- W3211514994 hasConceptScore W3211514994C28490314 @default.
- W3211514994 hasConceptScore W3211514994C40969351 @default.
- W3211514994 hasConceptScore W3211514994C41008148 @default.
- W3211514994 hasConceptScore W3211514994C41895202 @default.
- W3211514994 hasConceptScore W3211514994C52622490 @default.
- W3211514994 hasConceptScore W3211514994C58166 @default.
- W3211514994 hasConceptScore W3211514994C59822182 @default.
- W3211514994 hasConceptScore W3211514994C61224824 @default.
- W3211514994 hasConceptScore W3211514994C73555534 @default.
- W3211514994 hasConceptScore W3211514994C86803240 @default.
- W3211514994 hasIssue "3" @default.
- W3211514994 hasLocation W32115149941 @default.
- W3211514994 hasOpenAccess W3211514994 @default.
- W3211514994 hasPrimaryLocation W32115149941 @default.
- W3211514994 hasRelatedWork W1599433772 @default.
- W3211514994 hasRelatedWork W1965286608 @default.
- W3211514994 hasRelatedWork W1973156171 @default.
- W3211514994 hasRelatedWork W2115851431 @default.
- W3211514994 hasRelatedWork W2508937276 @default.
- W3211514994 hasRelatedWork W2536948775 @default.
- W3211514994 hasRelatedWork W2784177197 @default.
- W3211514994 hasRelatedWork W2798765714 @default.
- W3211514994 hasRelatedWork W2186375278 @default.
- W3211514994 hasRelatedWork W3182470998 @default.
- W3211514994 hasVolume "25" @default.
- W3211514994 isParatext "false" @default.
- W3211514994 isRetracted "false" @default.
- W3211514994 magId "3211514994" @default.
- W3211514994 workType "article" @default.