{"id":"https://openalex.org/W2904815051","doi":"https://doi.org/10.1109/iccais.2018.8570576","title":"A Voice Activity Detection Method Based on DWT-MVNPDF","display_name":"A Voice Activity Detection Method Based on DWT-MVNPDF","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2904815051","doi":"https://doi.org/10.1109/iccais.2018.8570576","mag":"2904815051"},"language":"en","primary_location":{"id":"doi:10.1109/iccais.2018.8570576","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccais.2018.8570576","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Control, Automation and Information Sciences (ICCAIS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100369793","display_name":"Chen Li","orcid":"https://orcid.org/0000-0002-0079-3106"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chen Li","raw_affiliation_strings":["School of Software Engineering, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101936349","display_name":"Feiyang Wang","orcid":"https://orcid.org/0000-0001-5074-1606"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feiyang Wang","raw_affiliation_strings":["School of Software Engineering, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100777340","display_name":"Lihua Tian","orcid":"https://orcid.org/0000-0002-7206-4332"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lihua Tian","raw_affiliation_strings":["School of Software Engineering, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061863093","display_name":"Hui Song","orcid":"https://orcid.org/0000-0002-0458-5136"},"institutions":[{"id":"https://openalex.org/I4210115513","display_name":"Xi\u2019an University","ror":"https://ror.org/01zzmf129","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210115513"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Song","raw_affiliation_strings":["School of Information Engineering, University of PAP, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, University of PAP, Xi'an, China","institution_ids":["https://openalex.org/I4210115513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025641454","display_name":"Xuebo Meng","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuebo Meng","raw_affiliation_strings":["School of Software Engineering, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100369793"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15560565,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"17","last_page":"21"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6686011552810669},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6016911268234253},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.5901588797569275},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5526005625724792},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5277413129806519},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5171331763267517},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.49347126483917236},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4842264652252197},{"id":"https://openalex.org/keywords/wavelet-packet-decomposition","display_name":"Wavelet packet decomposition","score":0.4768618047237396},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4762173593044281},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45539066195487976},{"id":"https://openalex.org/keywords/second-generation-wavelet-transform","display_name":"Second-generation wavelet transform","score":0.4516694247722626},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.44841068983078003},{"id":"https://openalex.org/keywords/audio-signal","display_name":"Audio signal","score":0.4479873478412628},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.42419302463531494},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21915239095687866},{"id":"https://openalex.org/keywords/speech-coding","display_name":"Speech coding","score":0.2100462019443512},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1492862105369568},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09778675436973572}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6686011552810669},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6016911268234253},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.5901588797569275},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5526005625724792},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5277413129806519},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5171331763267517},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.49347126483917236},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4842264652252197},{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.4768618047237396},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4762173593044281},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45539066195487976},{"id":"https://openalex.org/C111350171","wikidata":"https://www.wikidata.org/wiki/Q7443700","display_name":"Second-generation wavelet transform","level":5,"score":0.4516694247722626},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.44841068983078003},{"id":"https://openalex.org/C64922751","wikidata":"https://www.wikidata.org/wiki/Q4650799","display_name":"Audio signal","level":3,"score":0.4479873478412628},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.42419302463531494},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21915239095687866},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.2100462019443512},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1492862105369568},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09778675436973572},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccais.2018.8570576","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccais.2018.8570576","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Control, Automation and Information Sciences (ICCAIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8799999952316284,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W182487737","https://openalex.org/W1974387177","https://openalex.org/W2003399936","https://openalex.org/W2148128296","https://openalex.org/W2316177949","https://openalex.org/W2564125315","https://openalex.org/W2610073446"],"related_works":["https://openalex.org/W68308810","https://openalex.org/W2085792030","https://openalex.org/W1986475093","https://openalex.org/W1506615375","https://openalex.org/W2053682625","https://openalex.org/W1588899229","https://openalex.org/W2380372197","https://openalex.org/W2144408025","https://openalex.org/W1917032666","https://openalex.org/W2358271565"],"abstract_inverted_index":{"The":[0,96],"purpose":[1],"of":[2,25,53,70],"voice":[3,10,26],"activity":[4],"detection":[5],"(VAD)":[6],"is":[7,34,40,46,65,92,104],"to":[8,18,48,78,106],"classify":[9],"and":[11,27,113],"noise":[12,28],"in":[13,30,74],"an":[14,31],"audio":[15,32,55],"file.":[16],"According":[17],"the":[19,22,50,54,58,75,80,87,101,107],"fact":[20],"that":[21,100],"spectral":[23],"distribution":[24],"segments":[29],"file":[33],"different,":[35],"a":[36],"new":[37],"VAD":[38],"method":[39,91,103,111],"proposed.":[41],"First,":[42],"three-layer":[43],"wavelet":[44,71],"decomposition":[45],"executed":[47],"extract":[49],"multi-resolution":[51,76],"spectrum":[52,77],"signal.":[56],"Then,":[57],"multivariate":[59],"normal":[60],"probability":[61],"density":[62],"function":[63],"(MVNPDF)":[64],"calculated":[66],"for":[67,94],"each":[68],"level":[69],"transform":[72],"coefficients":[73],"obtain":[79],"feature":[81],"-":[82],"DWT-MVNPDF.":[83],"Finally,":[84],"based":[85],"on":[86],"DWT-MVNPDF":[88],"feature,":[89],"dual-threshold":[90],"used":[93],"VAD.":[95],"experiment":[97],"results":[98],"show":[99],"proposed":[102],"superior":[105],"energy":[108],"entropy":[109],"ratio":[110],"(EER)":[112],"other":[114],"algorithms":[115],"at":[116],"different":[117],"SNR":[118],"environments.":[119]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
