{"id":"https://openalex.org/W2290536607","doi":"https://doi.org/10.1109/apsipa.2015.7415459","title":"Estimation of binaural intelligibility using the frequency-weighted segmental SNR of stereo channel signals","display_name":"Estimation of binaural intelligibility using the frequency-weighted segmental SNR of stereo channel signals","publication_year":2015,"publication_date":"2015-12-01","ids":{"openalex":"https://openalex.org/W2290536607","doi":"https://doi.org/10.1109/apsipa.2015.7415459","mag":"2290536607"},"language":"en","primary_location":{"id":"doi:10.1109/apsipa.2015.7415459","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2015.7415459","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)","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/A5060638386","display_name":"Kazuya Taira","orcid":null},"institutions":[{"id":"https://openalex.org/I112524849","display_name":"Yamagata University","ror":"https://ror.org/00xy44n04","country_code":"JP","type":"education","lineage":["https://openalex.org/I112524849"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Kazuya Taira","raw_affiliation_strings":["Graduate School of Science and Engineering, Yamagata University, Yamagata, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering, Yamagata University, Yamagata, Japan","institution_ids":["https://openalex.org/I112524849"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054505593","display_name":"Kazuhiro Kondo","orcid":"https://orcid.org/0000-0003-2160-8683"},"institutions":[{"id":"https://openalex.org/I112524849","display_name":"Yamagata University","ror":"https://ror.org/00xy44n04","country_code":"JP","type":"education","lineage":["https://openalex.org/I112524849"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuhiro Kondo","raw_affiliation_strings":["Graduate School of Science and Engineering, Yamagata University, Yamagata, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering, Yamagata University, Yamagata, Japan","institution_ids":["https://openalex.org/I112524849"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5060638386"],"corresponding_institution_ids":["https://openalex.org/I112524849"],"apc_list":null,"apc_paid":null,"fwci":0.5744,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.69420476,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"63","issue":null,"first_page":"101","last_page":"104"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998000264167786,"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":0.9998000264167786,"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/T10283","display_name":"Hearing Loss and Rehabilitation","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11692","display_name":"Noise Effects and Management","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/3616","display_name":"Speech and Hearing"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/monaural","display_name":"Monaural","score":0.9738402366638184},{"id":"https://openalex.org/keywords/binaural-recording","display_name":"Binaural recording","score":0.9229844808578491},{"id":"https://openalex.org/keywords/intelligibility","display_name":"Intelligibility (philosophy)","score":0.7612704634666443},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6296058297157288},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5312041640281677},{"id":"https://openalex.org/keywords/sound-localization","display_name":"Sound localization","score":0.4207664728164673},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.3940219581127167}],"concepts":[{"id":"https://openalex.org/C102894143","wikidata":"https://www.wikidata.org/wiki/Q1323979","display_name":"Monaural","level":2,"score":0.9738402366638184},{"id":"https://openalex.org/C201247586","wikidata":"https://www.wikidata.org/wiki/Q5612967","display_name":"Binaural recording","level":2,"score":0.9229844808578491},{"id":"https://openalex.org/C60048801","wikidata":"https://www.wikidata.org/wiki/Q1433889","display_name":"Intelligibility (philosophy)","level":2,"score":0.7612704634666443},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6296058297157288},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5312041640281677},{"id":"https://openalex.org/C68236139","wikidata":"https://www.wikidata.org/wiki/Q765652","display_name":"Sound localization","level":2,"score":0.4207664728164673},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.3940219581127167},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apsipa.2015.7415459","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2015.7415459","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1997900929","https://openalex.org/W1998648683","https://openalex.org/W2060606343","https://openalex.org/W2076428431","https://openalex.org/W2106325442","https://openalex.org/W6676076978"],"related_works":["https://openalex.org/W2025382336","https://openalex.org/W2961417140","https://openalex.org/W2022442341","https://openalex.org/W2088399049","https://openalex.org/W1975600668","https://openalex.org/W4304991028","https://openalex.org/W2083076286","https://openalex.org/W3204182958","https://openalex.org/W1979944951","https://openalex.org/W2064172822"],"abstract_inverted_index":{"Most":[0],"existing":[1],"objective":[2],"intelligibility":[3,8,35,110],"prediction":[4,36],"methods":[5,13],"predict":[6],"monaural":[7,10,83,170],"using":[9,37,56,75],"signals.":[11,151],"These":[12],"do":[14],"not":[15],"consider":[16],"that":[17,40,167],"a":[18,82,176],"human":[19],"can":[20],"easily":[21],"distinguish":[22],"sounds":[23],"arriving":[24],"from":[25],"different":[26,77],"directions":[27],"by":[28,113,128,172],"sound":[29],"heard":[30],"in":[31,89,175],"both":[32,90],"ears.":[33],"Therefore,":[34],"binaural":[38,57,150],"signals":[39,88],"take":[41],"this":[42],"into":[43,92],"account":[44],"is":[45,111],"necessary.":[46],"Accordingly,":[47],"speech":[48],"samples":[49],"with":[50,105,149,163],"various":[51],"source":[52],"locations":[53],"were":[54,62],"prepared":[55],"simulation.":[58],"Subjective":[59],"measurement":[60,123],"tests":[61],"carried":[63],"out":[64],"on":[65,117,134],"these":[66],"samples.":[67],"The":[68,152],"frequency-weighted":[69],"segmental":[70],"SNR":[71],"(fwSNRseg)":[72],"was":[73,126],"obtained":[74],"two":[76,147,182],"models":[78,148],"for":[79],"comparison:":[80],"1)":[81],"model,":[84],"which":[85,101],"simply":[86],"combines":[87],"channels":[91],"one,":[93],"and":[94,120],"2)":[95],"the":[96,103,106,118,121,130,137,142,146,156,169],"simple":[97],"better":[98,107,157],"ear":[99,158],"model":[100,159,171],"uses":[102],"channel":[104],"SNR.":[108],"Binaural":[109],"estimated":[112],"applying":[114,129],"regression":[115,132],"analysis":[116],"fwSNRseg":[119,135],"subjective":[122,164],"results.":[124],"Intelligibility":[125],"predicted":[127],"resultant":[131],"function":[133],"of":[136,145,155,168],"test":[138,178],"sample.":[139],"We":[140],"compared":[141],"estimation":[143,153],"precision":[144,154],"yielded":[160],"higher":[161],"correlation":[162],"scores":[165],"than":[166],"approximately":[173],"0.2":[174],"closed":[177],"as":[179,181],"well":[180],"open":[183],"sets.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}