{"id":"https://openalex.org/W2117618100","doi":"https://doi.org/10.1109/tasl.2011.2151857","title":"Privacy-Sensitive Audio Features for Speech/Nonspeech Detection","display_name":"Privacy-Sensitive Audio Features for Speech/Nonspeech Detection","publication_year":2011,"publication_date":"2011-05-09","ids":{"openalex":"https://openalex.org/W2117618100","doi":"https://doi.org/10.1109/tasl.2011.2151857","mag":"2117618100"},"language":"en","primary_location":{"id":"doi:10.1109/tasl.2011.2151857","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tasl.2011.2151857","pdf_url":null,"source":{"id":"https://openalex.org/S199497470","display_name":"IEEE Transactions on Audio Speech and Language Processing","issn_l":"1558-7916","issn":["1558-7916","1558-7924"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Audio, Speech, and Language Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://infoscience.epfl.ch/record/167421","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080341961","display_name":"Sree Hari Krishnan Parthasarathi","orcid":null},"institutions":[{"id":"https://openalex.org/I7495430","display_name":"Idiap Research Institute","ror":"https://ror.org/05932h694","country_code":"CH","type":"facility","lineage":["https://openalex.org/I7495430"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Sree Hari Krishnan Parthasarathi","raw_affiliation_strings":["Idiap Research Institute, Martigny, Switzerland","IDIAP Res. Inst., Martigny, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Idiap Research Institute, Martigny, Switzerland","institution_ids":["https://openalex.org/I7495430"]},{"raw_affiliation_string":"IDIAP Res. Inst., Martigny, Switzerland","institution_ids":["https://openalex.org/I7495430"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012965551","display_name":"Daniel G\u00e1tica-P\u00e9rez","orcid":"https://orcid.org/0000-0001-5488-2182"},"institutions":[{"id":"https://openalex.org/I7495430","display_name":"Idiap Research Institute","ror":"https://ror.org/05932h694","country_code":"CH","type":"facility","lineage":["https://openalex.org/I7495430"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Daniel Gatica-Perez","raw_affiliation_strings":["Idiap Research Institute, Martigny, Switzerland","IDIAP Res. Inst., Martigny, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Idiap Research Institute, Martigny, Switzerland","institution_ids":["https://openalex.org/I7495430"]},{"raw_affiliation_string":"IDIAP Res. Inst., Martigny, Switzerland","institution_ids":["https://openalex.org/I7495430"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108187466","display_name":"Herv\u00e9 Bourlard","orcid":null},"institutions":[{"id":"https://openalex.org/I7495430","display_name":"Idiap Research Institute","ror":"https://ror.org/05932h694","country_code":"CH","type":"facility","lineage":["https://openalex.org/I7495430"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Herv\u00e9 Bourlard","raw_affiliation_strings":["Idiap Research Institute, Martigny, Switzerland","IDIAP Res. Inst., Martigny, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Idiap Research Institute, Martigny, Switzerland","institution_ids":["https://openalex.org/I7495430"]},{"raw_affiliation_string":"IDIAP Res. Inst., Martigny, Switzerland","institution_ids":["https://openalex.org/I7495430"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043551083","display_name":"Mathew Magimai.-Doss","orcid":"https://orcid.org/0000-0002-8714-1409"},"institutions":[{"id":"https://openalex.org/I7495430","display_name":"Idiap Research Institute","ror":"https://ror.org/05932h694","country_code":"CH","type":"facility","lineage":["https://openalex.org/I7495430"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Mathew Magimai.-Doss","raw_affiliation_strings":["Idiap Research Institute, Martigny, Switzerland","IDIAP Res. Inst., Martigny, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Idiap Research Institute, Martigny, Switzerland","institution_ids":["https://openalex.org/I7495430"]},{"raw_affiliation_string":"IDIAP Res. Inst., Martigny, Switzerland","institution_ids":["https://openalex.org/I7495430"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I7495430"],"apc_list":null,"apc_paid":null,"fwci":1.2941,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.84469858,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"19","issue":"8","first_page":"2538","last_page":"2551"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998999834060669,"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"}},{"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":0.9995999932289124,"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":0.7860495448112488},{"id":"https://openalex.org/keywords/obfuscation","display_name":"Obfuscation","score":0.681693434715271},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6717500686645508},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5646213293075562},{"id":"https://openalex.org/keywords/microphone","display_name":"Microphone","score":0.5640630722045898},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4816071689128876},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48012518882751465},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4766460359096527},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46266794204711914},{"id":"https://openalex.org/keywords/timit","display_name":"TIMIT","score":0.4528627097606659},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.4113313853740692},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.1457202136516571}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7860495448112488},{"id":"https://openalex.org/C40305131","wikidata":"https://www.wikidata.org/wiki/Q2616305","display_name":"Obfuscation","level":2,"score":0.681693434715271},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6717500686645508},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5646213293075562},{"id":"https://openalex.org/C2778263558","wikidata":"https://www.wikidata.org/wiki/Q46384","display_name":"Microphone","level":3,"score":0.5640630722045898},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4816071689128876},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48012518882751465},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4766460359096527},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46266794204711914},{"id":"https://openalex.org/C2778724510","wikidata":"https://www.wikidata.org/wiki/Q7670405","display_name":"TIMIT","level":3,"score":0.4528627097606659},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.4113313853740692},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.1457202136516571},{"id":"https://openalex.org/C68115822","wikidata":"https://www.wikidata.org/wiki/Q1068172","display_name":"Sound pressure","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tasl.2011.2151857","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tasl.2011.2151857","pdf_url":null,"source":{"id":"https://openalex.org/S199497470","display_name":"IEEE Transactions on Audio Speech and Language Processing","issn_l":"1558-7916","issn":["1558-7916","1558-7924"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Audio, Speech, and Language Processing","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.296.7263","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.296.7263","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://publications.idiap.ch/downloads/reports/2010/Parthasarathi_Idiap-RR-12-2011.pdf","raw_type":"text"},{"id":"pmh:oai:infoscience.epfl.ch:167421","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/167421","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:infoscience.epfl.ch:167423","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/167423","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:infoscience.epfl.ch:167421","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/167421","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6299999952316284}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320320924","display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung","ror":"https://ror.org/00yjd3n13"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W11987703","https://openalex.org/W62987774","https://openalex.org/W181056519","https://openalex.org/W811578723","https://openalex.org/W1499712254","https://openalex.org/W1509663858","https://openalex.org/W1553004968","https://openalex.org/W1569447338","https://openalex.org/W1590057516","https://openalex.org/W1591607137","https://openalex.org/W1598327410","https://openalex.org/W1744148783","https://openalex.org/W1905881661","https://openalex.org/W1915942853","https://openalex.org/W1966264494","https://openalex.org/W2036365100","https://openalex.org/W2053966553","https://openalex.org/W2056411660","https://openalex.org/W2059182962","https://openalex.org/W2074263569","https://openalex.org/W2077611854","https://openalex.org/W2095635231","https://openalex.org/W2098441927","https://openalex.org/W2104835909","https://openalex.org/W2108950108","https://openalex.org/W2112164460","https://openalex.org/W2115011265","https://openalex.org/W2120804163","https://openalex.org/W2124981753","https://openalex.org/W2135933868","https://openalex.org/W2137075158","https://openalex.org/W2158275940","https://openalex.org/W2170166043","https://openalex.org/W2250911494","https://openalex.org/W2338994564","https://openalex.org/W2915347754","https://openalex.org/W6600510284","https://openalex.org/W6602564931","https://openalex.org/W6630463007","https://openalex.org/W6635201662","https://openalex.org/W6637718783","https://openalex.org/W6659344013","https://openalex.org/W6678053104"],"related_works":["https://openalex.org/W4317383455","https://openalex.org/W2548511587","https://openalex.org/W4233545119","https://openalex.org/W4293232884","https://openalex.org/W2422472940","https://openalex.org/W2019475500","https://openalex.org/W2548162870","https://openalex.org/W2138847091","https://openalex.org/W2048014685","https://openalex.org/W2057635330"],"abstract_inverted_index":{"The":[0],"goal":[1],"of":[2,28,94,152,197],"this":[3,99],"paper":[4],"is":[5],"to":[6,42,147,195],"investigate":[7],"features":[8,30,104,113,129,164,173,184],"for":[9,31,86],"speech/nonspeech":[10],"detection":[11],"(SND)":[12],"having":[13],"low":[14,186],"linguistic":[15],"information":[16,59],"from":[17],"the":[18,150,171,175,182],"speech":[19],"signal.":[20],"Towards":[21],"this,":[22],"we":[23,88,101,154],"present":[24],"a":[25],"comprehensive":[26],"study":[27,37],"privacy-sensitive":[29,43],"SND":[32,192],"in":[33,137,169,189],"multiparty":[34,90],"conversations.":[35],"Our":[36],"investigates":[38],"three":[39],"different":[40],"approaches":[41,46,85],"features.":[44,199],"These":[45],"are":[47],"based":[48,60,112],"on:":[49],"1)":[50],"simple,":[51],"instantaneous":[52],"feature":[53,64],"extraction":[54],"methods;":[55,61],"2)":[56],"excitation":[57,79,125,162,183],"source":[58,80,126,163],"and":[62,75,105,140,174],"3)":[63],"obfuscation":[65,178],"methods":[66,179],"such":[67,114],"as":[68,115],"local":[69],"(within":[70],"130":[71],"ms)":[72],"temporal":[73],"averaging":[74],"randomization":[76],"applied":[77,180],"on":[78,159,181],"information.":[81],"To":[82],"evaluate":[83,102,149],"these":[84,103],"SND,":[87],"use":[89],"conversational":[91],"meeting":[92],"data":[93],"nearly":[95],"450":[96],"hours.":[97],"On":[98],"dataset,":[100],"benchmark":[106],"them":[107],"against":[108],"standard":[109],"spectral":[110],"shape":[111],"Mel":[116],"frequency":[117],"perceptual":[118],"linear":[119],"prediction":[120],"(MFPLP).":[121],"Fusion":[122],"strategies":[123],"combining":[124],"with":[127,191],"simple":[128,172],"show":[130],"that":[131,196],"comparable":[132,194],"performance":[133,193],"can":[134],"be":[135],"obtained":[136],"both":[138],"close-talking":[139],"far-field":[141],"microphone":[142],"scenarios.":[143],"As":[144],"one":[145],"way":[146],"objectively":[148],"notion":[151],"privacy,":[153],"conduct":[155],"phoneme":[156,166,187],"recognition":[157,167],"studies":[158],"TIMIT.":[160],"While":[161],"yield":[165,185],"accuracies":[168,188],"between":[170],"MFPLP":[176,198],"features,":[177],"conjunction":[190]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}