Matches in SemOpenAlex for { <https://semopenalex.org/work/W2800665363> ?p ?o ?g. }
Showing items 1 to 97 of
97
with 100 items per page.
- W2800665363 endingPage "559" @default.
- W2800665363 startingPage "550" @default.
- W2800665363 abstract "In this paper, a speaker segmentation algorithm is proposed based on a Combined feature approach using the Convolution Neural Network (CNN), which is used to deal with the speaker segmentation problem of dialogue speech with partial prior knowledge in the CALL_CENTER environment. For the first time, the Mel-Frequency Cepstral Coefficients (MFCC) feature and the SPECTROGRAM feature are combined as the input of CNN to train the speakers’ voice feature model and to estimate the change point. In the experiments, a real database about the dialogue voice related to insurance sales and real estate sales industry is used to compare our proposed approach with Bayesian Information Criterion (BIC) approach using different acoustic features sets. The results show that the synthetical performance is improved, and our algorithm has a better segmentation." @default.
- W2800665363 created "2018-05-17" @default.
- W2800665363 creator A5008606533 @default.
- W2800665363 creator A5055329626 @default.
- W2800665363 creator A5072739941 @default.
- W2800665363 date "2018-01-01" @default.
- W2800665363 modified "2023-09-28" @default.
- W2800665363 title "A Combined Feature Approach for Speaker Segmentation Using Convolution Neural Network" @default.
- W2800665363 cites W1878581552 @default.
- W2800665363 cites W1924751832 @default.
- W2800665363 cites W2044591814 @default.
- W2800665363 cites W2059857061 @default.
- W2800665363 cites W2075156252 @default.
- W2800665363 cites W2103869314 @default.
- W2800665363 cites W2121178298 @default.
- W2800665363 cites W2148154194 @default.
- W2800665363 cites W2151299225 @default.
- W2800665363 cites W2155273149 @default.
- W2800665363 cites W2159591770 @default.
- W2800665363 cites W2159937480 @default.
- W2800665363 cites W2166531598 @default.
- W2800665363 cites W2166980079 @default.
- W2800665363 cites W2171700247 @default.
- W2800665363 cites W2406555014 @default.
- W2800665363 cites W4254369063 @default.
- W2800665363 doi "https://doi.org/10.1007/978-3-319-77383-4_54" @default.
- W2800665363 hasPublicationYear "2018" @default.
- W2800665363 type Work @default.
- W2800665363 sameAs 2800665363 @default.
- W2800665363 citedByCount "2" @default.
- W2800665363 countsByYear W28006653632018 @default.
- W2800665363 countsByYear W28006653632021 @default.
- W2800665363 crossrefType "book-chapter" @default.
- W2800665363 hasAuthorship W2800665363A5008606533 @default.
- W2800665363 hasAuthorship W2800665363A5055329626 @default.
- W2800665363 hasAuthorship W2800665363A5072739941 @default.
- W2800665363 hasConcept C133892786 @default.
- W2800665363 hasConcept C138885662 @default.
- W2800665363 hasConcept C151989614 @default.
- W2800665363 hasConcept C153180895 @default.
- W2800665363 hasConcept C154945302 @default.
- W2800665363 hasConcept C2776401178 @default.
- W2800665363 hasConcept C28490314 @default.
- W2800665363 hasConcept C41008148 @default.
- W2800665363 hasConcept C41895202 @default.
- W2800665363 hasConcept C45273575 @default.
- W2800665363 hasConcept C45347329 @default.
- W2800665363 hasConcept C50644808 @default.
- W2800665363 hasConcept C52622490 @default.
- W2800665363 hasConcept C81363708 @default.
- W2800665363 hasConcept C88485024 @default.
- W2800665363 hasConcept C89600930 @default.
- W2800665363 hasConceptScore W2800665363C133892786 @default.
- W2800665363 hasConceptScore W2800665363C138885662 @default.
- W2800665363 hasConceptScore W2800665363C151989614 @default.
- W2800665363 hasConceptScore W2800665363C153180895 @default.
- W2800665363 hasConceptScore W2800665363C154945302 @default.
- W2800665363 hasConceptScore W2800665363C2776401178 @default.
- W2800665363 hasConceptScore W2800665363C28490314 @default.
- W2800665363 hasConceptScore W2800665363C41008148 @default.
- W2800665363 hasConceptScore W2800665363C41895202 @default.
- W2800665363 hasConceptScore W2800665363C45273575 @default.
- W2800665363 hasConceptScore W2800665363C45347329 @default.
- W2800665363 hasConceptScore W2800665363C50644808 @default.
- W2800665363 hasConceptScore W2800665363C52622490 @default.
- W2800665363 hasConceptScore W2800665363C81363708 @default.
- W2800665363 hasConceptScore W2800665363C88485024 @default.
- W2800665363 hasConceptScore W2800665363C89600930 @default.
- W2800665363 hasLocation W28006653631 @default.
- W2800665363 hasOpenAccess W2800665363 @default.
- W2800665363 hasPrimaryLocation W28006653631 @default.
- W2800665363 hasRelatedWork W1516974462 @default.
- W2800665363 hasRelatedWork W1543209151 @default.
- W2800665363 hasRelatedWork W1550985492 @default.
- W2800665363 hasRelatedWork W1969726775 @default.
- W2800665363 hasRelatedWork W2013852953 @default.
- W2800665363 hasRelatedWork W2095892407 @default.
- W2800665363 hasRelatedWork W2127805579 @default.
- W2800665363 hasRelatedWork W2357221934 @default.
- W2800665363 hasRelatedWork W2380152878 @default.
- W2800665363 hasRelatedWork W2546841339 @default.
- W2800665363 hasRelatedWork W2566781703 @default.
- W2800665363 hasRelatedWork W2781612481 @default.
- W2800665363 hasRelatedWork W2950523597 @default.
- W2800665363 hasRelatedWork W2962751625 @default.
- W2800665363 hasRelatedWork W2964214551 @default.
- W2800665363 hasRelatedWork W2964307722 @default.
- W2800665363 hasRelatedWork W3018678481 @default.
- W2800665363 hasRelatedWork W3034911389 @default.
- W2800665363 hasRelatedWork W3100535290 @default.
- W2800665363 hasRelatedWork W3159083645 @default.
- W2800665363 isParatext "false" @default.
- W2800665363 isRetracted "false" @default.
- W2800665363 magId "2800665363" @default.
- W2800665363 workType "book-chapter" @default.