{"id":"https://openalex.org/W2119347058","doi":"https://doi.org/10.1109/icassp.2014.6854946","title":"A posteriori voiced/unvoiced probability estimation based on a sinusoidal model","display_name":"A posteriori voiced/unvoiced probability estimation based on a sinusoidal model","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W2119347058","doi":"https://doi.org/10.1109/icassp.2014.6854946","mag":"2119347058"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2014.6854946","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6854946","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5041108140","display_name":"Robert Rehr","orcid":"https://orcid.org/0000-0001-7458-2320"},"institutions":[{"id":"https://openalex.org/I129877168","display_name":"Carl von Ossietzky Universit\u00e4t Oldenburg","ror":"https://ror.org/033n9gh91","country_code":"DE","type":"education","lineage":["https://openalex.org/I129877168"]},{"id":"https://openalex.org/I4210144375","display_name":"Hearing4all","ror":"https://ror.org/0393vzh87","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210144375"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Robert Rehr","raw_affiliation_strings":["Cluster of Excellence Hearing4all, University of Oldenburg, Germany","Dept. of Med. Phys. & Acoust., Univ. of Oldenburg, Oldenburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cluster of Excellence Hearing4all, University of Oldenburg, Germany","institution_ids":["https://openalex.org/I4210144375","https://openalex.org/I129877168"]},{"raw_affiliation_string":"Dept. of Med. Phys. & Acoust., Univ. of Oldenburg, Oldenburg, Germany","institution_ids":["https://openalex.org/I129877168"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091800611","display_name":"Martin Krawczyk","orcid":null},"institutions":[{"id":"https://openalex.org/I129877168","display_name":"Carl von Ossietzky Universit\u00e4t Oldenburg","ror":"https://ror.org/033n9gh91","country_code":"DE","type":"education","lineage":["https://openalex.org/I129877168"]},{"id":"https://openalex.org/I4210144375","display_name":"Hearing4all","ror":"https://ror.org/0393vzh87","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210144375"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Martin Krawczyk","raw_affiliation_strings":["Cluster of Excellence Hearing4all, University of Oldenburg, Germany","Dept. of Med. Phys. & Acoust., Univ. of Oldenburg, Oldenburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cluster of Excellence Hearing4all, University of Oldenburg, Germany","institution_ids":["https://openalex.org/I4210144375","https://openalex.org/I129877168"]},{"raw_affiliation_string":"Dept. of Med. Phys. & Acoust., Univ. of Oldenburg, Oldenburg, Germany","institution_ids":["https://openalex.org/I129877168"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087022569","display_name":"Timo Gerkmann","orcid":"https://orcid.org/0000-0002-8678-4699"},"institutions":[{"id":"https://openalex.org/I129877168","display_name":"Carl von Ossietzky Universit\u00e4t Oldenburg","ror":"https://ror.org/033n9gh91","country_code":"DE","type":"education","lineage":["https://openalex.org/I129877168"]},{"id":"https://openalex.org/I4210144375","display_name":"Hearing4all","ror":"https://ror.org/0393vzh87","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210144375"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Timo Gerkmann","raw_affiliation_strings":["Cluster of Excellence Hearing4all, University of Oldenburg, Germany","Dept. of Med. Phys. & Acoust., Univ. of Oldenburg, Oldenburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cluster of Excellence Hearing4all, University of Oldenburg, Germany","institution_ids":["https://openalex.org/I4210144375","https://openalex.org/I129877168"]},{"raw_affiliation_string":"Dept. of Med. Phys. & Acoust., Univ. of Oldenburg, Oldenburg, Germany","institution_ids":["https://openalex.org/I129877168"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.1627376,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"6944","last_page":"6948"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":1.0,"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":1.0,"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":0.9980000257492065,"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/T11309","display_name":"Music and Audio Processing","score":0.9929999709129333,"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/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.673640251159668},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6439883708953857},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.6353543400764465},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4887866675853729},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.4838656187057495},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4734739363193512},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.41097790002822876},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3353891372680664},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32099610567092896},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21728983521461487},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2160913050174713},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06995874643325806}],"concepts":[{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.673640251159668},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6439883708953857},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.6353543400764465},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4887866675853729},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.4838656187057495},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4734739363193512},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.41097790002822876},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3353891372680664},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32099610567092896},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21728983521461487},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2160913050174713},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06995874643325806},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2014.6854946","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6854946","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1560528376","https://openalex.org/W1990449877","https://openalex.org/W1995190897","https://openalex.org/W2075098731","https://openalex.org/W2084044763","https://openalex.org/W2102494813","https://openalex.org/W2111261267","https://openalex.org/W2113468383","https://openalex.org/W2118354544","https://openalex.org/W2134025364","https://openalex.org/W2135284480","https://openalex.org/W2135933868","https://openalex.org/W2142773518","https://openalex.org/W2160566140","https://openalex.org/W2164764235","https://openalex.org/W3127686677","https://openalex.org/W4214498238","https://openalex.org/W4256477428","https://openalex.org/W6633528433"],"related_works":["https://openalex.org/W1503532423","https://openalex.org/W2150865841","https://openalex.org/W1967494390","https://openalex.org/W2138865713","https://openalex.org/W3013496002","https://openalex.org/W2169353922","https://openalex.org/W2465363361","https://openalex.org/W2896820906","https://openalex.org/W4284711868","https://openalex.org/W2101542441"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"focus":[4],"on":[5,110],"methods":[6],"for":[7,33,86,114],"estimating":[8],"the":[9,40,49,52,79,94,97,111,123,133],"a":[10,14,21,53,57,72,102],"posteriori":[11,54],"probability":[12,42,55,135],"of":[13,56,96,132],"signal":[15,23,58],"segment":[16,59,98],"being":[17,60],"voiced":[18,34,61],"which":[19,39,77,107],"employ":[20],"harmonic":[22],"model.":[24],"Fisher":[25],"et":[26],"al.":[27],"[1]":[28],"present":[29],"two":[30],"likelihood":[31],"functions":[32],"and":[35,84,100,118,130],"unvoiced":[36,69,81],"speech":[37,82],"from":[38],"posterior":[41],"can":[43],"be":[44],"derived.":[45],"However,":[46],"due":[47],"to":[48,65,138],"chosen":[50],"models,":[51],"does":[62],"not":[63],"go":[64],"0":[66],"%":[67],"in":[68,127],"speech.":[70],"Thus,":[71],"novel":[73],"algorithm":[74],"is":[75],"proposed,":[76],"incorporates":[78],"expected":[80],"energy":[83,99],"allows":[85],"obtaining":[87],"low":[88],"probabilities.":[89],"Further,":[90],"it":[91],"explicitly":[92],"models":[93],"statistics":[95],"employs":[101],"state-of-the-art":[103],"noise":[104,116,119],"tracker.":[105],"Experiments":[106],"were":[108],"conducted":[109],"TIMIT":[112],"database":[113],"different":[115],"types":[117],"levels":[120],"show":[121],"that":[122],"proposed":[124],"method":[125],"results":[126],"lower":[128],"over-estimation":[129],"under-estimation":[131],"voicing":[134],"as":[136],"compared":[137],"[1].":[139]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
