{"id":"https://openalex.org/W4225964743","doi":"https://doi.org/10.1109/asru51503.2021.9687972","title":"HASA-Net: A Non-Intrusive Hearing-Aid Speech Assessment Network","display_name":"HASA-Net: A Non-Intrusive Hearing-Aid Speech Assessment Network","publication_year":2021,"publication_date":"2021-12-13","ids":{"openalex":"https://openalex.org/W4225964743","doi":"https://doi.org/10.1109/asru51503.2021.9687972"},"language":"en","primary_location":{"id":"doi:10.1109/asru51503.2021.9687972","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asru51503.2021.9687972","pdf_url":null,"source":{"id":"https://openalex.org/S4363606113","display_name":"2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)","raw_type":"proceedings-article"},"type":"preprint","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/A5041130078","display_name":"Hsin-Tien Chiang","orcid":"https://orcid.org/0009-0009-4697-4357"},"institutions":[{"id":"https://openalex.org/I4210086894","display_name":"Research Center for Information Technology Innovation, Academia Sinica","ror":"https://ror.org/000zgvm20","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210086894","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Hsin-Tien Chiang","raw_affiliation_strings":["Research Center for Information Technology Innovation, Academia Sinica,Taiwan"],"affiliations":[{"raw_affiliation_string":"Research Center for Information Technology Innovation, Academia Sinica,Taiwan","institution_ids":["https://openalex.org/I4210086894"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037001032","display_name":"Yi-Chiao Wu","orcid":"https://orcid.org/0000-0003-4390-1354"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yi-Chiao Wu","raw_affiliation_strings":["Information Technology Center, Nagoya University,Japan"],"affiliations":[{"raw_affiliation_string":"Information Technology Center, Nagoya University,Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100622632","display_name":"Cheng Yu","orcid":"https://orcid.org/0000-0003-4816-1586"},"institutions":[{"id":"https://openalex.org/I4210086894","display_name":"Research Center for Information Technology Innovation, Academia Sinica","ror":"https://ror.org/000zgvm20","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210086894","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Cheng Yu","raw_affiliation_strings":["Research Center for Information Technology Innovation, Academia Sinica,Taiwan"],"affiliations":[{"raw_affiliation_string":"Research Center for Information Technology Innovation, Academia Sinica,Taiwan","institution_ids":["https://openalex.org/I4210086894"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078330211","display_name":"Tomoki Toda","orcid":"https://orcid.org/0000-0001-8146-1279"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomoki Toda","raw_affiliation_strings":["Information Technology Center, Nagoya University,Japan"],"affiliations":[{"raw_affiliation_string":"Information Technology Center, Nagoya University,Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071214181","display_name":"Hsin\u2010Min Wang","orcid":"https://orcid.org/0000-0003-3599-5071"},"institutions":[{"id":"https://openalex.org/I4210098366","display_name":"Institute of Information Science, Academia Sinica","ror":"https://ror.org/00z83z196","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210098366","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hsin-Min Wang","raw_affiliation_strings":["Institute of Information Science, Academia Sinica,Taiwan"],"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Academia Sinica,Taiwan","institution_ids":["https://openalex.org/I4210098366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019677106","display_name":"Yih\u2010Chun Hu","orcid":"https://orcid.org/0000-0002-7829-3929"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yih-Chun Hu","raw_affiliation_strings":["University of Illinois at Urbana-Champaign,USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign,USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044008055","display_name":"Yu Tsao","orcid":"https://orcid.org/0000-0001-6956-0418"},"institutions":[{"id":"https://openalex.org/I4210086894","display_name":"Research Center for Information Technology Innovation, Academia Sinica","ror":"https://ror.org/000zgvm20","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210086894","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu Tsao","raw_affiliation_strings":["Research Center for Information Technology Innovation, Academia Sinica,Taiwan"],"affiliations":[{"raw_affiliation_string":"Research Center for Information Technology Innovation, Academia Sinica,Taiwan","institution_ids":["https://openalex.org/I4210086894"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5041130078"],"corresponding_institution_ids":["https://openalex.org/I4210086894"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24513096,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"907","last_page":"913"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","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"}},"topics":[{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","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/T10283","display_name":"Hearing Loss and Rehabilitation","score":0.9937999844551086,"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/T10822","display_name":"Acoustic Wave Phenomena Research","score":0.9488999843597412,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/intelligibility","display_name":"Intelligibility (philosophy)","score":0.7241319417953491},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6773179173469543},{"id":"https://openalex.org/keywords/hearing-aid","display_name":"Hearing aid","score":0.6537840366363525},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6169452667236328},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5528596639633179},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4907435178756714},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.46173155307769775},{"id":"https://openalex.org/keywords/hearing-loss","display_name":"Hearing loss","score":0.45544150471687317},{"id":"https://openalex.org/keywords/speech-perception","display_name":"Speech perception","score":0.4324207901954651},{"id":"https://openalex.org/keywords/audiology","display_name":"Audiology","score":0.3382818102836609},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26062333583831787},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.16743353009223938},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.06611311435699463}],"concepts":[{"id":"https://openalex.org/C60048801","wikidata":"https://www.wikidata.org/wiki/Q1433889","display_name":"Intelligibility (philosophy)","level":2,"score":0.7241319417953491},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6773179173469543},{"id":"https://openalex.org/C2780801066","wikidata":"https://www.wikidata.org/wiki/Q323808","display_name":"Hearing aid","level":2,"score":0.6537840366363525},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6169452667236328},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5528596639633179},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4907435178756714},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.46173155307769775},{"id":"https://openalex.org/C2780493683","wikidata":"https://www.wikidata.org/wiki/Q16035842","display_name":"Hearing loss","level":2,"score":0.45544150471687317},{"id":"https://openalex.org/C99209842","wikidata":"https://www.wikidata.org/wiki/Q643696","display_name":"Speech perception","level":3,"score":0.4324207901954651},{"id":"https://openalex.org/C548259974","wikidata":"https://www.wikidata.org/wiki/Q569965","display_name":"Audiology","level":1,"score":0.3382818102836609},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26062333583831787},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.16743353009223938},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.06611311435699463},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asru51503.2021.9687972","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asru51503.2021.9687972","pdf_url":null,"source":{"id":"https://openalex.org/S4363606113","display_name":"2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)","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":0.699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1499332833","https://openalex.org/W1552314771","https://openalex.org/W1582976041","https://openalex.org/W2021501756","https://openalex.org/W2043429285","https://openalex.org/W2092644348","https://openalex.org/W2105854852","https://openalex.org/W2125114513","https://openalex.org/W2127851351","https://openalex.org/W2141998673","https://openalex.org/W2168379380","https://openalex.org/W2193166973","https://openalex.org/W2526425061","https://openalex.org/W2527611302","https://openalex.org/W2587793680","https://openalex.org/W2755891984","https://openalex.org/W2780646907","https://openalex.org/W2793348675","https://openalex.org/W2913340405","https://openalex.org/W2936718374","https://openalex.org/W2948042249","https://openalex.org/W2954275688","https://openalex.org/W2964058413","https://openalex.org/W2977465979","https://openalex.org/W3015545615","https://openalex.org/W3132553907","https://openalex.org/W3161558238","https://openalex.org/W6753992155","https://openalex.org/W6785906987","https://openalex.org/W6787258793"],"related_works":["https://openalex.org/W7278353","https://openalex.org/W9984467","https://openalex.org/W2589131","https://openalex.org/W4080015","https://openalex.org/W13596895","https://openalex.org/W1519615","https://openalex.org/W5938845","https://openalex.org/W15377319","https://openalex.org/W10169861","https://openalex.org/W9264903"],"abstract_inverted_index":{"Without":[0],"the":[1,92,99,121],"need":[2],"of":[3,94,128],"a":[4,57,67,109],"clean":[5],"reference,":[6],"non-intrusive":[7,29,112],"speech":[8,30,61,76,85,123,142,149],"assessment":[9,31,62],"methods":[10],"have":[11,24],"caught":[12],"great":[13],"attention":[14],"for":[15,45,114],"objective":[16],"evaluations.":[17],"Recently,":[18],"deep":[19],"neural":[20],"network":[21,63],"(DNN)":[22],"models":[23],"been":[25],"applied":[26],"to":[27,35,74,83,102,133],"build":[28],"approaches":[32,42],"and":[33,78,87,105,125,146],"confirmed":[34],"provide":[36],"promising":[37],"performance.":[38],"However,":[39],"most":[40],"DNN-based":[41,58,111],"are":[43,130],"designed":[44],"normal-hearing":[46],"listeners":[47],"without":[48],"considering":[49],"hearing-loss":[50,89],"factors.":[51],"In":[52],"this":[53],"study,":[54],"we":[55],"propose":[56],"hearing":[59,115,140,147],"aid":[60,141,148],"(HASA-Net),":[64],"formed":[65],"by":[66],"bidirectional":[68],"long":[69],"short-term":[70],"memory":[71],"(BLSTM)":[72],"model,":[73],"predict":[75],"quality":[77,104,124,143],"intelligibility":[79,106,126],"scores":[80,127],"simultaneously":[81],"according":[82],"input":[84],"signals":[86],"specified":[88],"patterns.":[90],"To":[91],"best":[93],"our":[95],"knowledge,":[96],"HASA-Net":[97,129],"is":[98],"first":[100],"work":[101],"incorporate":[103],"assessments":[107],"utilizing":[108],"unified":[110],"model":[113],"aids.":[116],"Experimental":[117],"results":[118],"show":[119],"that":[120],"predicted":[122],"highly":[131],"correlated":[132],"two":[134],"well-known":[135],"intrusive":[136],"hearing-aid":[137],"evaluation":[138],"metrics,":[139],"index":[144,151],"(HASQI)":[145],"perception":[150],"(HASPI),":[152],"respectively.":[153]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2022-05-05T00:00:00"}