Matches in SemOpenAlex for { <https://semopenalex.org/work/W2899050939> ?p ?o ?g. }
Showing items 1 to 83 of
83
with 100 items per page.
- W2899050939 abstract "Snoring is often associated with serious health risks such as obstructive sleep apnea and heart disease and may require targeted surgical interventions. In this regard, research into automatically and unobtrusively analysing the site of blockages that cause snore sounds is growing in popularity. Herein, we investigate the use of low level image texture features in classification of four specific types of snore sounds. Specifically, we explore histogram of local binary patterns (LBP) in dense grid of rectangular regions and histogram of oriented gradients (HOG) extracted from colour spectrograms for snore sound characterisation. Support vector machines with homogeneous mapping are used in the classification stage of the proposed method. Various experimental works are carried out with both LBP and HOG descriptors on the INTERSPEECH ComParE 2017 snoring sub-challenge dataset. Results presented indicate that LBP descriptors are better than the HOG descriptors in snore type detection and fusion of the LBP and HOG descriptors produces stronger results than either individual descriptor. Further, when compared to the challenge baseline and state-of-the-art deep spectrum features, our approach achieved relative percentage increases in unweighted average recall of 23.1% and 8.3% respectively." @default.
- W2899050939 created "2018-11-09" @default.
- W2899050939 creator A5010754413 @default.
- W2899050939 creator A5019651318 @default.
- W2899050939 creator A5045216943 @default.
- W2899050939 creator A5077471358 @default.
- W2899050939 creator A5090485343 @default.
- W2899050939 date "2018-07-01" @default.
- W2899050939 modified "2023-10-17" @default.
- W2899050939 title "Low Level Texture Features for Snore Sound Discrimination" @default.
- W2899050939 cites W2088057729 @default.
- W2899050939 cites W2143302529 @default.
- W2899050939 cites W2161969291 @default.
- W2899050939 cites W2163236561 @default.
- W2899050939 cites W2163352848 @default.
- W2899050939 cites W2342982450 @default.
- W2899050939 cites W2612919868 @default.
- W2899050939 cites W2743974781 @default.
- W2899050939 cites W2746419079 @default.
- W2899050939 cites W2746502628 @default.
- W2899050939 cites W2749046237 @default.
- W2899050939 doi "https://doi.org/10.1109/embc.2018.8512459" @default.
- W2899050939 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30440421" @default.
- W2899050939 hasPublicationYear "2018" @default.
- W2899050939 type Work @default.
- W2899050939 sameAs 2899050939 @default.
- W2899050939 citedByCount "11" @default.
- W2899050939 countsByYear W28990509392019 @default.
- W2899050939 countsByYear W28990509392020 @default.
- W2899050939 countsByYear W28990509392021 @default.
- W2899050939 countsByYear W28990509392023 @default.
- W2899050939 crossrefType "proceedings-article" @default.
- W2899050939 hasAuthorship W2899050939A5010754413 @default.
- W2899050939 hasAuthorship W2899050939A5019651318 @default.
- W2899050939 hasAuthorship W2899050939A5045216943 @default.
- W2899050939 hasAuthorship W2899050939A5077471358 @default.
- W2899050939 hasAuthorship W2899050939A5090485343 @default.
- W2899050939 hasBestOaLocation W28990509392 @default.
- W2899050939 hasConcept C100660578 @default.
- W2899050939 hasConcept C115961682 @default.
- W2899050939 hasConcept C12267149 @default.
- W2899050939 hasConcept C138885662 @default.
- W2899050939 hasConcept C153180895 @default.
- W2899050939 hasConcept C154945302 @default.
- W2899050939 hasConcept C2781195486 @default.
- W2899050939 hasConcept C28490314 @default.
- W2899050939 hasConcept C41008148 @default.
- W2899050939 hasConcept C41895202 @default.
- W2899050939 hasConcept C53533937 @default.
- W2899050939 hasConcept C87335442 @default.
- W2899050939 hasConcept C89600930 @default.
- W2899050939 hasConceptScore W2899050939C100660578 @default.
- W2899050939 hasConceptScore W2899050939C115961682 @default.
- W2899050939 hasConceptScore W2899050939C12267149 @default.
- W2899050939 hasConceptScore W2899050939C138885662 @default.
- W2899050939 hasConceptScore W2899050939C153180895 @default.
- W2899050939 hasConceptScore W2899050939C154945302 @default.
- W2899050939 hasConceptScore W2899050939C2781195486 @default.
- W2899050939 hasConceptScore W2899050939C28490314 @default.
- W2899050939 hasConceptScore W2899050939C41008148 @default.
- W2899050939 hasConceptScore W2899050939C41895202 @default.
- W2899050939 hasConceptScore W2899050939C53533937 @default.
- W2899050939 hasConceptScore W2899050939C87335442 @default.
- W2899050939 hasConceptScore W2899050939C89600930 @default.
- W2899050939 hasLocation W28990509391 @default.
- W2899050939 hasLocation W28990509392 @default.
- W2899050939 hasLocation W28990509393 @default.
- W2899050939 hasOpenAccess W2899050939 @default.
- W2899050939 hasPrimaryLocation W28990509391 @default.
- W2899050939 hasRelatedWork W1990254706 @default.
- W2899050939 hasRelatedWork W2087874231 @default.
- W2899050939 hasRelatedWork W2122718025 @default.
- W2899050939 hasRelatedWork W2471967074 @default.
- W2899050939 hasRelatedWork W2754350655 @default.
- W2899050939 hasRelatedWork W2795417921 @default.
- W2899050939 hasRelatedWork W3024593842 @default.
- W2899050939 hasRelatedWork W4235736048 @default.
- W2899050939 hasRelatedWork W2181817726 @default.
- W2899050939 hasRelatedWork W2342684998 @default.
- W2899050939 isParatext "false" @default.
- W2899050939 isRetracted "false" @default.
- W2899050939 magId "2899050939" @default.
- W2899050939 workType "article" @default.