Matches in SemOpenAlex for { <https://semopenalex.org/work/W836233463> ?p ?o ?g. }
Showing items 1 to 81 of
81
with 100 items per page.
- W836233463 endingPage "148" @default.
- W836233463 startingPage "141" @default.
- W836233463 abstract "In this paper, voice activity detection (VAD) for dual-channel noisy speech recognition is proposed in which spatial cues are employed. In the proposed method, a probability model for speech presence/absence is constructed using spatial cues obtained from dual-channel input signal, and a speech activity interval is detected through this probability model. In particular, spatial cues are composed of interaural time differences and interaural level differences of dual-channel speech signals, and the probability model for speech presence/absence is based on a Gaussian kernel density. In order to evaluate the performance of the proposed VAD method, speech recognition is performed for speech segments that only include speech intervals detected by the proposed VAD method. The performance of the proposed method is compared with those of several methods such as an SNR-based method, a direction of arrival (DOA) based method, and a phase vector based method. It is shown from the speech recognition experiments that the proposed method outperforms conventional methods by providing relative word error rates reductions of 11.68%, 41.92%, and 10.15% compared with SNR-based, DOA-based, and phase vector based method, respectively." @default.
- W836233463 created "2016-06-24" @default.
- W836233463 creator A5005541330 @default.
- W836233463 creator A5061181813 @default.
- W836233463 creator A5081071984 @default.
- W836233463 creator A5085604883 @default.
- W836233463 creator A5086229810 @default.
- W836233463 date "2010-01-01" @default.
- W836233463 modified "2023-09-23" @default.
- W836233463 title "Statistical Model-Based Voice Activity Detection Using Spatial Cues for Dual-Channel Noisy Speech Recognition" @default.
- W836233463 cites W1512475020 @default.
- W836233463 cites W1991699603 @default.
- W836233463 cites W2032474878 @default.
- W836233463 cites W2037949455 @default.
- W836233463 cites W2050758723 @default.
- W836233463 cites W2115717467 @default.
- W836233463 cites W2118020555 @default.
- W836233463 cites W2123599635 @default.
- W836233463 cites W2127868001 @default.
- W836233463 cites W2150125142 @default.
- W836233463 cites W2152395643 @default.
- W836233463 cites W3145636786 @default.
- W836233463 hasPublicationYear "2010" @default.
- W836233463 type Work @default.
- W836233463 sameAs 836233463 @default.
- W836233463 citedByCount "0" @default.
- W836233463 crossrefType "journal-article" @default.
- W836233463 hasAuthorship W836233463A5005541330 @default.
- W836233463 hasAuthorship W836233463A5061181813 @default.
- W836233463 hasAuthorship W836233463A5081071984 @default.
- W836233463 hasAuthorship W836233463A5085604883 @default.
- W836233463 hasAuthorship W836233463A5086229810 @default.
- W836233463 hasConcept C12267149 @default.
- W836233463 hasConcept C127162648 @default.
- W836233463 hasConcept C153180895 @default.
- W836233463 hasConcept C154945302 @default.
- W836233463 hasConcept C204201278 @default.
- W836233463 hasConcept C28490314 @default.
- W836233463 hasConcept C31258907 @default.
- W836233463 hasConcept C41008148 @default.
- W836233463 hasConcept C61328038 @default.
- W836233463 hasConceptScore W836233463C12267149 @default.
- W836233463 hasConceptScore W836233463C127162648 @default.
- W836233463 hasConceptScore W836233463C153180895 @default.
- W836233463 hasConceptScore W836233463C154945302 @default.
- W836233463 hasConceptScore W836233463C204201278 @default.
- W836233463 hasConceptScore W836233463C28490314 @default.
- W836233463 hasConceptScore W836233463C31258907 @default.
- W836233463 hasConceptScore W836233463C41008148 @default.
- W836233463 hasConceptScore W836233463C61328038 @default.
- W836233463 hasIssue "3" @default.
- W836233463 hasLocation W8362334631 @default.
- W836233463 hasOpenAccess W836233463 @default.
- W836233463 hasPrimaryLocation W8362334631 @default.
- W836233463 hasRelatedWork W132959719 @default.
- W836233463 hasRelatedWork W1493379811 @default.
- W836233463 hasRelatedWork W1520071769 @default.
- W836233463 hasRelatedWork W1792790088 @default.
- W836233463 hasRelatedWork W1794826295 @default.
- W836233463 hasRelatedWork W1971164097 @default.
- W836233463 hasRelatedWork W1995656914 @default.
- W836233463 hasRelatedWork W2006051038 @default.
- W836233463 hasRelatedWork W2067115593 @default.
- W836233463 hasRelatedWork W2100823947 @default.
- W836233463 hasRelatedWork W2120011474 @default.
- W836233463 hasRelatedWork W2150988759 @default.
- W836233463 hasRelatedWork W2153317412 @default.
- W836233463 hasRelatedWork W2163217414 @default.
- W836233463 hasRelatedWork W2736138094 @default.
- W836233463 hasRelatedWork W2763838806 @default.
- W836233463 hasRelatedWork W2793845650 @default.
- W836233463 hasRelatedWork W2992880552 @default.
- W836233463 hasRelatedWork W759042195 @default.
- W836233463 hasRelatedWork W2465697055 @default.
- W836233463 hasVolume "2" @default.
- W836233463 isParatext "false" @default.
- W836233463 isRetracted "false" @default.
- W836233463 magId "836233463" @default.
- W836233463 workType "article" @default.