Matches in SemOpenAlex for { <https://semopenalex.org/work/W4312120798> ?p ?o ?g. }
Showing items 1 to 88 of
88
with 100 items per page.
- W4312120798 abstract "This paper investigates applying convolutional neural networks (CNNs) to co-prime circular microphone arrays (CPCMAs) for robustly estimating direction of arrival (DOA) of speech sources in noisy environments. Compared to conventional uniform circular arrays, the co-prime circular geometry improves the beampattern, array gain and accuracy of speech DOA estimation in adverse environments. DOA estimation using the generalised cross-correlation phase transform (GCC-PHAT) are commonly used for improving performance in noisy environments. However, large errors still occur in existing DOA estimation methods using CPCMA recordings under high noise, so the GCC-based feature has not fully exploited the benefit of CPCMA so far. The proposed algorithm enhances the CPCMA feature for training, before designing a CNN structure that reduces the number of parameters compared to existing work. Experimental results show that the CPCMA and CNN approach improves the speech DOA estimation accuracy across a range of noisy environments, particularly for highly noisy cases, with the CPCMA having the advantage of requiring significantly less microphones than a traditional uniform circular array (UCA)." @default.
- W4312120798 created "2023-01-04" @default.
- W4312120798 creator A5033818201 @default.
- W4312120798 creator A5059289539 @default.
- W4312120798 date "2022-11-07" @default.
- W4312120798 modified "2023-09-27" @default.
- W4312120798 title "Adapting GCC-PHAT to Co-Prime Circular Microphone Arrays for Speech Direction of Arrival Estimation Using Neural Networks" @default.
- W4312120798 cites W2107297119 @default.
- W4312120798 cites W2117678320 @default.
- W4312120798 cites W2164390589 @default.
- W4312120798 cites W2165927731 @default.
- W4312120798 cites W2321982267 @default.
- W4312120798 cites W2618530766 @default.
- W4312120798 cites W2904310887 @default.
- W4312120798 cites W2931364255 @default.
- W4312120798 cites W2936320472 @default.
- W4312120798 cites W3108495681 @default.
- W4312120798 cites W3163391314 @default.
- W4312120798 cites W3200741527 @default.
- W4312120798 doi "https://doi.org/10.23919/apsipaasc55919.2022.9980256" @default.
- W4312120798 hasPublicationYear "2022" @default.
- W4312120798 type Work @default.
- W4312120798 citedByCount "0" @default.
- W4312120798 crossrefType "proceedings-article" @default.
- W4312120798 hasAuthorship W4312120798A5033818201 @default.
- W4312120798 hasAuthorship W4312120798A5059289539 @default.
- W4312120798 hasConcept C11413529 @default.
- W4312120798 hasConcept C114614502 @default.
- W4312120798 hasConcept C115961682 @default.
- W4312120798 hasConcept C121332964 @default.
- W4312120798 hasConcept C138885662 @default.
- W4312120798 hasConcept C153180895 @default.
- W4312120798 hasConcept C154945302 @default.
- W4312120798 hasConcept C172051844 @default.
- W4312120798 hasConcept C184992742 @default.
- W4312120798 hasConcept C21822782 @default.
- W4312120798 hasConcept C24890656 @default.
- W4312120798 hasConcept C2776401178 @default.
- W4312120798 hasConcept C2778263558 @default.
- W4312120798 hasConcept C2778806681 @default.
- W4312120798 hasConcept C28490314 @default.
- W4312120798 hasConcept C33923547 @default.
- W4312120798 hasConcept C41008148 @default.
- W4312120798 hasConcept C41895202 @default.
- W4312120798 hasConcept C50644808 @default.
- W4312120798 hasConcept C68115822 @default.
- W4312120798 hasConcept C76155785 @default.
- W4312120798 hasConcept C81363708 @default.
- W4312120798 hasConcept C99498987 @default.
- W4312120798 hasConceptScore W4312120798C11413529 @default.
- W4312120798 hasConceptScore W4312120798C114614502 @default.
- W4312120798 hasConceptScore W4312120798C115961682 @default.
- W4312120798 hasConceptScore W4312120798C121332964 @default.
- W4312120798 hasConceptScore W4312120798C138885662 @default.
- W4312120798 hasConceptScore W4312120798C153180895 @default.
- W4312120798 hasConceptScore W4312120798C154945302 @default.
- W4312120798 hasConceptScore W4312120798C172051844 @default.
- W4312120798 hasConceptScore W4312120798C184992742 @default.
- W4312120798 hasConceptScore W4312120798C21822782 @default.
- W4312120798 hasConceptScore W4312120798C24890656 @default.
- W4312120798 hasConceptScore W4312120798C2776401178 @default.
- W4312120798 hasConceptScore W4312120798C2778263558 @default.
- W4312120798 hasConceptScore W4312120798C2778806681 @default.
- W4312120798 hasConceptScore W4312120798C28490314 @default.
- W4312120798 hasConceptScore W4312120798C33923547 @default.
- W4312120798 hasConceptScore W4312120798C41008148 @default.
- W4312120798 hasConceptScore W4312120798C41895202 @default.
- W4312120798 hasConceptScore W4312120798C50644808 @default.
- W4312120798 hasConceptScore W4312120798C68115822 @default.
- W4312120798 hasConceptScore W4312120798C76155785 @default.
- W4312120798 hasConceptScore W4312120798C81363708 @default.
- W4312120798 hasConceptScore W4312120798C99498987 @default.
- W4312120798 hasLocation W43121207981 @default.
- W4312120798 hasOpenAccess W4312120798 @default.
- W4312120798 hasPrimaryLocation W43121207981 @default.
- W4312120798 hasRelatedWork W1993694758 @default.
- W4312120798 hasRelatedWork W2015203344 @default.
- W4312120798 hasRelatedWork W2066224942 @default.
- W4312120798 hasRelatedWork W2087490064 @default.
- W4312120798 hasRelatedWork W2358361519 @default.
- W4312120798 hasRelatedWork W2621513402 @default.
- W4312120798 hasRelatedWork W2760085659 @default.
- W4312120798 hasRelatedWork W2909545689 @default.
- W4312120798 hasRelatedWork W4375869166 @default.
- W4312120798 hasRelatedWork W585264039 @default.
- W4312120798 isParatext "false" @default.
- W4312120798 isRetracted "false" @default.
- W4312120798 workType "article" @default.