Matches in SemOpenAlex for { <https://semopenalex.org/work/W4285410108> ?p ?o ?g. }
Showing items 1 to 89 of
89
with 100 items per page.
- W4285410108 abstract "Deep learning framework has been utilized to estimate the Direction-of-Arrival (DOA) with spherical microphone array under environments with reverberation and noise for low computational complexity and high accuracy. This paper proposed a convolutional neural network (CNN) with normalized input features for classification. The received signal is first normalized along microphones to obtain the first normalized features. Secondly normalize the received signal along the spherical harmonic order to form the second normalized features. Finally assemble the two normalized features to get the input features to the network. The classifier outputs the posterior probabilities of all DOA candidates according to the input feature and determines the DOA position through the principle of maximum posterior probability. This method effectively provided the information of the DOA along microphones, spherical harmonic order, which is useful for improving the accuracy. Experiments are conducted to show that the proposed method has higher accuracy than the conventional methods and can effectively resist the reverberation and noise." @default.
- W4285410108 created "2022-07-14" @default.
- W4285410108 creator A5051111990 @default.
- W4285410108 creator A5066148256 @default.
- W4285410108 creator A5071376060 @default.
- W4285410108 date "2022-03-18" @default.
- W4285410108 modified "2023-09-27" @default.
- W4285410108 title "A Deep Learning Method for DOA Estimation with Normalized Features in Reverberant Environment" @default.
- W4285410108 cites W1966081805 @default.
- W4285410108 cites W1969110495 @default.
- W4285410108 cites W2030486566 @default.
- W4285410108 cites W2046317813 @default.
- W4285410108 cites W2050551142 @default.
- W4285410108 cites W2056212252 @default.
- W4285410108 cites W2066218102 @default.
- W4285410108 cites W2113638573 @default.
- W4285410108 cites W2128131274 @default.
- W4285410108 cites W2136290775 @default.
- W4285410108 cites W2160525176 @default.
- W4285410108 cites W2162654459 @default.
- W4285410108 cites W2400670198 @default.
- W4285410108 cites W2611943505 @default.
- W4285410108 doi "https://doi.org/10.1145/3532213.3532325" @default.
- W4285410108 hasPublicationYear "2022" @default.
- W4285410108 type Work @default.
- W4285410108 citedByCount "0" @default.
- W4285410108 crossrefType "proceedings-article" @default.
- W4285410108 hasAuthorship W4285410108A5051111990 @default.
- W4285410108 hasAuthorship W4285410108A5066148256 @default.
- W4285410108 hasAuthorship W4285410108A5071376060 @default.
- W4285410108 hasConcept C11413529 @default.
- W4285410108 hasConcept C115961682 @default.
- W4285410108 hasConcept C121332964 @default.
- W4285410108 hasConcept C153180895 @default.
- W4285410108 hasConcept C154945302 @default.
- W4285410108 hasConcept C172051844 @default.
- W4285410108 hasConcept C199360897 @default.
- W4285410108 hasConcept C21822782 @default.
- W4285410108 hasConcept C24890656 @default.
- W4285410108 hasConcept C2778263558 @default.
- W4285410108 hasConcept C2778806681 @default.
- W4285410108 hasConcept C2779843651 @default.
- W4285410108 hasConcept C28490314 @default.
- W4285410108 hasConcept C41008148 @default.
- W4285410108 hasConcept C50644808 @default.
- W4285410108 hasConcept C68115822 @default.
- W4285410108 hasConcept C76155785 @default.
- W4285410108 hasConcept C81363708 @default.
- W4285410108 hasConcept C95623464 @default.
- W4285410108 hasConcept C95851461 @default.
- W4285410108 hasConcept C99498987 @default.
- W4285410108 hasConceptScore W4285410108C11413529 @default.
- W4285410108 hasConceptScore W4285410108C115961682 @default.
- W4285410108 hasConceptScore W4285410108C121332964 @default.
- W4285410108 hasConceptScore W4285410108C153180895 @default.
- W4285410108 hasConceptScore W4285410108C154945302 @default.
- W4285410108 hasConceptScore W4285410108C172051844 @default.
- W4285410108 hasConceptScore W4285410108C199360897 @default.
- W4285410108 hasConceptScore W4285410108C21822782 @default.
- W4285410108 hasConceptScore W4285410108C24890656 @default.
- W4285410108 hasConceptScore W4285410108C2778263558 @default.
- W4285410108 hasConceptScore W4285410108C2778806681 @default.
- W4285410108 hasConceptScore W4285410108C2779843651 @default.
- W4285410108 hasConceptScore W4285410108C28490314 @default.
- W4285410108 hasConceptScore W4285410108C41008148 @default.
- W4285410108 hasConceptScore W4285410108C50644808 @default.
- W4285410108 hasConceptScore W4285410108C68115822 @default.
- W4285410108 hasConceptScore W4285410108C76155785 @default.
- W4285410108 hasConceptScore W4285410108C81363708 @default.
- W4285410108 hasConceptScore W4285410108C95623464 @default.
- W4285410108 hasConceptScore W4285410108C95851461 @default.
- W4285410108 hasConceptScore W4285410108C99498987 @default.
- W4285410108 hasFunder F4320321001 @default.
- W4285410108 hasLocation W42854101081 @default.
- W4285410108 hasOpenAccess W4285410108 @default.
- W4285410108 hasPrimaryLocation W42854101081 @default.
- W4285410108 hasRelatedWork W1145432393 @default.
- W4285410108 hasRelatedWork W1980903300 @default.
- W4285410108 hasRelatedWork W1993694758 @default.
- W4285410108 hasRelatedWork W1996174417 @default.
- W4285410108 hasRelatedWork W2015648148 @default.
- W4285410108 hasRelatedWork W2033727253 @default.
- W4285410108 hasRelatedWork W2060436938 @default.
- W4285410108 hasRelatedWork W2201989289 @default.
- W4285410108 hasRelatedWork W2294700320 @default.
- W4285410108 hasRelatedWork W2621513402 @default.
- W4285410108 isParatext "false" @default.
- W4285410108 isRetracted "false" @default.
- W4285410108 workType "article" @default.