Matches in SemOpenAlex for { <https://semopenalex.org/work/W2019928737> ?p ?o ?g. }
Showing items 1 to 86 of
86
with 100 items per page.
- W2019928737 abstract "Accent classification technologies directly influence the performance of automatic speech recognition (ASR) systems. In this paper, we evaluate three accent classification approaches: Phone Recognition followed by Language Modeling (PRLM) as a phonotactic approach; accent modeling using Gaussian Mixture Models (GMM) then selecting the most similar model using Maximum Likelihood algorithm that is categorized in acoustic approaches a novel classifier combination method which is proposed to improve the performance of accent classification for several regional accents. In the proposed approach, we use an ensemble method in which each base classifier is a binary classifier that separates an accent from another one. We use the majority vote algorithm to combine the base classifiers. Results for five accents selected from FARSDAT speech database show that the proposed ensemble method outperforms PRLM and GMM-based approaches in the case of Farsi regional accent classifications." @default.
- W2019928737 created "2016-06-24" @default.
- W2019928737 creator A5007485536 @default.
- W2019928737 creator A5020216791 @default.
- W2019928737 creator A5091420288 @default.
- W2019928737 date "2012-05-01" @default.
- W2019928737 modified "2023-09-24" @default.
- W2019928737 title "A classifier combination approach for Farsi accents recognition" @default.
- W2019928737 cites W1488775899 @default.
- W2019928737 cites W196384088 @default.
- W2019928737 cites W2130721836 @default.
- W2019928737 cites W2137498753 @default.
- W2019928737 cites W2149353989 @default.
- W2019928737 cites W2403870012 @default.
- W2019928737 cites W2487087946 @default.
- W2019928737 cites W2598378729 @default.
- W2019928737 cites W35830792 @default.
- W2019928737 doi "https://doi.org/10.1109/iraniancee.2012.6292447" @default.
- W2019928737 hasPublicationYear "2012" @default.
- W2019928737 type Work @default.
- W2019928737 sameAs 2019928737 @default.
- W2019928737 citedByCount "3" @default.
- W2019928737 countsByYear W20199287372015 @default.
- W2019928737 countsByYear W20199287372016 @default.
- W2019928737 countsByYear W20199287372020 @default.
- W2019928737 crossrefType "proceedings-article" @default.
- W2019928737 hasAuthorship W2019928737A5007485536 @default.
- W2019928737 hasAuthorship W2019928737A5020216791 @default.
- W2019928737 hasAuthorship W2019928737A5091420288 @default.
- W2019928737 hasConcept C12267149 @default.
- W2019928737 hasConcept C138885662 @default.
- W2019928737 hasConcept C148934300 @default.
- W2019928737 hasConcept C153180895 @default.
- W2019928737 hasConcept C154945302 @default.
- W2019928737 hasConcept C204321447 @default.
- W2019928737 hasConcept C23224414 @default.
- W2019928737 hasConcept C2776756274 @default.
- W2019928737 hasConcept C28490314 @default.
- W2019928737 hasConcept C41008148 @default.
- W2019928737 hasConcept C41895202 @default.
- W2019928737 hasConcept C4768521 @default.
- W2019928737 hasConcept C61224824 @default.
- W2019928737 hasConcept C66905080 @default.
- W2019928737 hasConcept C95623464 @default.
- W2019928737 hasConceptScore W2019928737C12267149 @default.
- W2019928737 hasConceptScore W2019928737C138885662 @default.
- W2019928737 hasConceptScore W2019928737C148934300 @default.
- W2019928737 hasConceptScore W2019928737C153180895 @default.
- W2019928737 hasConceptScore W2019928737C154945302 @default.
- W2019928737 hasConceptScore W2019928737C204321447 @default.
- W2019928737 hasConceptScore W2019928737C23224414 @default.
- W2019928737 hasConceptScore W2019928737C2776756274 @default.
- W2019928737 hasConceptScore W2019928737C28490314 @default.
- W2019928737 hasConceptScore W2019928737C41008148 @default.
- W2019928737 hasConceptScore W2019928737C41895202 @default.
- W2019928737 hasConceptScore W2019928737C4768521 @default.
- W2019928737 hasConceptScore W2019928737C61224824 @default.
- W2019928737 hasConceptScore W2019928737C66905080 @default.
- W2019928737 hasConceptScore W2019928737C95623464 @default.
- W2019928737 hasLocation W20199287371 @default.
- W2019928737 hasOpenAccess W2019928737 @default.
- W2019928737 hasPrimaryLocation W20199287371 @default.
- W2019928737 hasRelatedWork W147488190 @default.
- W2019928737 hasRelatedWork W1590092552 @default.
- W2019928737 hasRelatedWork W2012389612 @default.
- W2019928737 hasRelatedWork W2013852953 @default.
- W2019928737 hasRelatedWork W2014345428 @default.
- W2019928737 hasRelatedWork W2085326828 @default.
- W2019928737 hasRelatedWork W2285870796 @default.
- W2019928737 hasRelatedWork W2531863702 @default.
- W2019928737 hasRelatedWork W2752019808 @default.
- W2019928737 hasRelatedWork W2755771486 @default.
- W2019928737 hasRelatedWork W2766545623 @default.
- W2019928737 hasRelatedWork W2783169573 @default.
- W2019928737 hasRelatedWork W2784177197 @default.
- W2019928737 hasRelatedWork W2903098319 @default.
- W2019928737 hasRelatedWork W2963175699 @default.
- W2019928737 hasRelatedWork W2982364454 @default.
- W2019928737 hasRelatedWork W3016614324 @default.
- W2019928737 hasRelatedWork W3165783106 @default.
- W2019928737 hasRelatedWork W749916933 @default.
- W2019928737 hasRelatedWork W176863965 @default.
- W2019928737 isParatext "false" @default.
- W2019928737 isRetracted "false" @default.
- W2019928737 magId "2019928737" @default.
- W2019928737 workType "article" @default.