{"id":"https://openalex.org/W2966319025","doi":"https://doi.org/10.1109/bsn.2019.8771098","title":"A Generative Model for Speech Segmentation and Obfuscation for Remote Health Monitoring","display_name":"A Generative Model for Speech Segmentation and Obfuscation for Remote Health Monitoring","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2966319025","doi":"https://doi.org/10.1109/bsn.2019.8771098","mag":"2966319025"},"language":"en","primary_location":{"id":"doi:10.1109/bsn.2019.8771098","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bsn.2019.8771098","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 16th International Conference on Wearable and Implantable Body Sensor Networks (BSN)","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/A5051782097","display_name":"Korosh Vatanparvar","orcid":"https://orcid.org/0000-0002-9089-0021"},"institutions":[{"id":"https://openalex.org/I4210101778","display_name":"Samsung (United States)","ror":"https://ror.org/01bfbvm65","country_code":"US","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210101778"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Korosh Vatanparvar","raw_affiliation_strings":["Samsung Research America, Digital Health Lab, Mountain View, CA, USA"],"affiliations":[{"raw_affiliation_string":"Samsung Research America, Digital Health Lab, Mountain View, CA, USA","institution_ids":["https://openalex.org/I4210101778"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043961038","display_name":"Viswam Nathan","orcid":"https://orcid.org/0000-0001-8694-8721"},"institutions":[{"id":"https://openalex.org/I4210101778","display_name":"Samsung (United States)","ror":"https://ror.org/01bfbvm65","country_code":"US","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210101778"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Viswam Nathan","raw_affiliation_strings":["Samsung Research America, Digital Health Lab, Mountain View, CA, USA"],"affiliations":[{"raw_affiliation_string":"Samsung Research America, Digital Health Lab, Mountain View, CA, USA","institution_ids":["https://openalex.org/I4210101778"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045088073","display_name":"Ebrahim Nemati","orcid":"https://orcid.org/0000-0002-6406-1086"},"institutions":[{"id":"https://openalex.org/I4210101778","display_name":"Samsung (United States)","ror":"https://ror.org/01bfbvm65","country_code":"US","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210101778"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ebrahim Nemati","raw_affiliation_strings":["Samsung Research America, Digital Health Lab, Mountain View, CA, USA"],"affiliations":[{"raw_affiliation_string":"Samsung Research America, Digital Health Lab, Mountain View, CA, USA","institution_ids":["https://openalex.org/I4210101778"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103222656","display_name":"Md. Mahbubur Rahman","orcid":"https://orcid.org/0000-0002-3236-1666"},"institutions":[{"id":"https://openalex.org/I4210101778","display_name":"Samsung (United States)","ror":"https://ror.org/01bfbvm65","country_code":"US","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210101778"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Md Mahbubur Rahman","raw_affiliation_strings":["Samsung Research America, Digital Health Lab, Mountain View, CA, USA"],"affiliations":[{"raw_affiliation_string":"Samsung Research America, Digital Health Lab, Mountain View, CA, USA","institution_ids":["https://openalex.org/I4210101778"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002167339","display_name":"Jilong Kuang","orcid":"https://orcid.org/0000-0003-2942-9102"},"institutions":[{"id":"https://openalex.org/I4210101778","display_name":"Samsung (United States)","ror":"https://ror.org/01bfbvm65","country_code":"US","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210101778"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jilong Kuang","raw_affiliation_strings":["Samsung Research America, Digital Health Lab, Mountain View, CA, USA"],"affiliations":[{"raw_affiliation_string":"Samsung Research America, Digital Health Lab, Mountain View, CA, USA","institution_ids":["https://openalex.org/I4210101778"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5051782097"],"corresponding_institution_ids":["https://openalex.org/I4210101778"],"apc_list":null,"apc_paid":null,"fwci":1.6586,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.84681478,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"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/T11309","display_name":"Music 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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.7947217226028442},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6588037014007568},{"id":"https://openalex.org/keywords/voice-activity-detection","display_name":"Voice activity detection","score":0.6527367830276489},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6102729439735413},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.46691206097602844},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.4442000389099121},{"id":"https://openalex.org/keywords/obfuscation","display_name":"Obfuscation","score":0.4265305995941162},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.4205786883831024},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.41773465275764465},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3748597502708435},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.08143538236618042}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7947217226028442},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6588037014007568},{"id":"https://openalex.org/C204201278","wikidata":"https://www.wikidata.org/wiki/Q1332614","display_name":"Voice activity detection","level":3,"score":0.6527367830276489},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6102729439735413},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.46691206097602844},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.4442000389099121},{"id":"https://openalex.org/C40305131","wikidata":"https://www.wikidata.org/wiki/Q2616305","display_name":"Obfuscation","level":2,"score":0.4265305995941162},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.4205786883831024},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.41773465275764465},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3748597502708435},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.08143538236618042},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bsn.2019.8771098","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bsn.2019.8771098","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 16th International Conference on Wearable and Implantable Body Sensor Networks (BSN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1976867401","https://openalex.org/W2007119422","https://openalex.org/W2052666245","https://openalex.org/W2085106103","https://openalex.org/W2109768653","https://openalex.org/W2123389487","https://openalex.org/W2136986309","https://openalex.org/W2151489770","https://openalex.org/W2158037536","https://openalex.org/W2398932003","https://openalex.org/W2509065397","https://openalex.org/W2519091744","https://openalex.org/W2786254735","https://openalex.org/W2797583228","https://openalex.org/W2912017114","https://openalex.org/W2945350219","https://openalex.org/W3010545562","https://openalex.org/W3098357269","https://openalex.org/W3127686677","https://openalex.org/W6775020464","https://openalex.org/W6789826613"],"related_works":["https://openalex.org/W642007152","https://openalex.org/W2401827384","https://openalex.org/W2355290951","https://openalex.org/W4304187160","https://openalex.org/W2052688117","https://openalex.org/W2552102772","https://openalex.org/W4294771049","https://openalex.org/W1523214805","https://openalex.org/W2168417340","https://openalex.org/W4229451372"],"abstract_inverted_index":{"The":[0],"prevalence":[1],"of":[2,11,97,144,173],"smart":[3],"devices":[4],"has":[5,16],"enabled":[6],"remote":[7,30],"health":[8,18,31,156],"monitoring":[9],"outside":[10],"conventional":[12],"clinical":[13],"settings,":[14],"and":[15,53,61,93,125,139,148,175,180],"reduced":[17],"care":[19],"delivery":[20],"cost.":[21],"Passive":[22],"audio":[23,124,186],"recording":[24],"is":[25,83],"an":[26],"essential":[27],"component":[28],"in":[29,41,69,121,205],"monitoring,":[32],"however,":[33],"it":[34],"poses":[35],"major":[36],"privacy":[37,110],"issues":[38],"for":[39,89,100,177],"subjects":[40],"uncontrolled":[42],"environments":[43],"like":[44],"their":[45,81],"home.":[46],"There":[47],"are":[48,192],"existing":[49],"voice":[50],"activity":[51],"detection":[52],"speech":[54,76,109,120,129,168,191,200],"classification":[55],"methodologies":[56],"to":[57,85,117,130,159,188,194],"identify":[58],"sound":[59,79],"events":[60],"obfuscate":[62,189],"the":[63,132,190],"human":[64,75,119,199],"speech.":[65],"However,":[66],"they":[67],"result":[68],"frequent":[70],"false":[71],"positives":[72],"when":[73],"distinguishing":[74],"from":[77,152,198],"other":[78],"events;":[80],"performance":[82],"limited":[84],"a":[86,90,107,122],"controlled":[87],"environment":[88],"specific":[91],"application;":[92],"require":[94],"large":[95],"amount":[96],"labeled":[98],"data":[99],"training.":[101],"In":[102],"this":[103],"paper,":[104],"we":[105],"present":[106],"novel":[108],"preservation":[111],"methodology":[112,138],"using":[113],"generative":[114],"adversarial":[115],"networks":[116],"segment":[118],"recorded":[123],"generate":[126],"human-like":[127],"random":[128],"replace":[131],"original":[133],"segment.":[134],"We":[135],"implemented":[136],"our":[137,153,162],"experimented":[140],"on":[141],"standard":[142],"datasets":[143],"speech,":[145],"environmental":[146,178],"sounds,":[147],"cough":[149,181],"samples":[150,187],"generated":[151,185],"internal":[154],"mobile":[155],"study.":[157],"Compared":[158],"current":[160],"methodologies,":[161],"experimental":[163],"results":[164],"show":[165],"much":[166],"lower":[167],"segmentation":[169],"true":[170],"positive":[171],"rates":[172],"17%":[174],"14%":[176],"sounds":[179],"datasets.":[182],"Moreover,":[183],"randomly":[184],"shown":[193],"be":[195],"likely":[196],"indistinguishable":[197],"(lower":[201],"than":[202],"0.9%":[203],"error":[204],"spectral":[206],"attributes).":[207]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
