{"id":"https://openalex.org/W4412687935","doi":"https://doi.org/10.1109/access.2025.3590490","title":"Comparison of Linear and Nonlinear Methods for Decoding Selective Attention to Speech From Ear-EEG Recordings","display_name":"Comparison of Linear and Nonlinear Methods for Decoding Selective Attention to Speech From Ear-EEG Recordings","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412687935","doi":"https://doi.org/10.1109/access.2025.3590490"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3590490","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3590490","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3590490","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059908170","display_name":"Michael Thornton","orcid":"https://orcid.org/0000-0002-2235-5879"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Mike D. Thornton","raw_affiliation_strings":["Department Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany"],"affiliations":[{"raw_affiliation_string":"Department Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103001848","display_name":"Danilo P. Mandic","orcid":"https://orcid.org/0000-0001-8432-3963"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Danilo P. Mandic","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Imperial College London, London, U.K"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Imperial College London, London, U.K","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060630131","display_name":"Tobias Reichenbach","orcid":"https://orcid.org/0000-0003-3367-3511"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Tobias Reichenbach","raw_affiliation_strings":["Department Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany"],"affiliations":[{"raw_affiliation_string":"Department Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5059908170"],"corresponding_institution_ids":["https://openalex.org/I181369854"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.1913,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.92183345,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"13","issue":null,"first_page":"127614","last_page":"127625"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9997000098228455,"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":0.9997000098228455,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9997000098228455,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9987999796867371,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.7485095262527466},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.7307184934616089},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6902357339859009},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6308035254478455},{"id":"https://openalex.org/keywords/audiology","display_name":"Audiology","score":0.33898815512657166},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1538955569267273},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.14111292362213135},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.09359446167945862},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.07483229041099548}],"concepts":[{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.7485095262527466},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7307184934616089},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6902357339859009},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6308035254478455},{"id":"https://openalex.org/C548259974","wikidata":"https://www.wikidata.org/wiki/Q569965","display_name":"Audiology","level":1,"score":0.33898815512657166},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1538955569267273},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.14111292362213135},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.09359446167945862},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.07483229041099548}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3590490","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3590490","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:59815eed44fb407597f87823ca78ebaa","is_oa":true,"landing_page_url":"https://doaj.org/article/59815eed44fb407597f87823ca78ebaa","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 127614-127625 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3590490","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3590490","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8798502671","display_name":null,"funder_award_id":"P/S023283/1","funder_id":"https://openalex.org/F4320314731","funder_display_name":"UK Research and Innovation"}],"funders":[{"id":"https://openalex.org/F4320314731","display_name":"UK Research and Innovation","ror":"https://ror.org/001aqnf71"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":70,"referenced_works":["https://openalex.org/W561771584","https://openalex.org/W1687911202","https://openalex.org/W1965758821","https://openalex.org/W1990016207","https://openalex.org/W2006043513","https://openalex.org/W2014848901","https://openalex.org/W2042896300","https://openalex.org/W2043465334","https://openalex.org/W2051014148","https://openalex.org/W2066227468","https://openalex.org/W2066999249","https://openalex.org/W2096429673","https://openalex.org/W2104117351","https://openalex.org/W2106265339","https://openalex.org/W2129259613","https://openalex.org/W2146614348","https://openalex.org/W2158904676","https://openalex.org/W2194775991","https://openalex.org/W2408166852","https://openalex.org/W2408915913","https://openalex.org/W2489292218","https://openalex.org/W2527878485","https://openalex.org/W2539508298","https://openalex.org/W2767841979","https://openalex.org/W2770086382","https://openalex.org/W2771075519","https://openalex.org/W2774612436","https://openalex.org/W2775454033","https://openalex.org/W2787324996","https://openalex.org/W2799439111","https://openalex.org/W2885097773","https://openalex.org/W2890442302","https://openalex.org/W2904104018","https://openalex.org/W2916612990","https://openalex.org/W2949084669","https://openalex.org/W2950017146","https://openalex.org/W2961897784","https://openalex.org/W2968050947","https://openalex.org/W3007254760","https://openalex.org/W3080933772","https://openalex.org/W3126966983","https://openalex.org/W3193645636","https://openalex.org/W3199686090","https://openalex.org/W3201770243","https://openalex.org/W4200012906","https://openalex.org/W4200245384","https://openalex.org/W4225411564","https://openalex.org/W4283015068","https://openalex.org/W4283741176","https://openalex.org/W4295763024","https://openalex.org/W4312709116","https://openalex.org/W4315480713","https://openalex.org/W4316468787","https://openalex.org/W4384155732","https://openalex.org/W4384297678","https://openalex.org/W4385152764","https://openalex.org/W4387339335","https://openalex.org/W4392932907","https://openalex.org/W4396568186","https://openalex.org/W4399870628","https://openalex.org/W4402112003","https://openalex.org/W4404609553","https://openalex.org/W4407918186","https://openalex.org/W4408466020","https://openalex.org/W6631190155","https://openalex.org/W6675347926","https://openalex.org/W6755310813","https://openalex.org/W6869312586","https://openalex.org/W6878386738","https://openalex.org/W6910546390"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2922348724","https://openalex.org/W200322357","https://openalex.org/W2390279801","https://openalex.org/W2130428257","https://openalex.org/W4391913857","https://openalex.org/W4308951944","https://openalex.org/W2358668433"],"abstract_inverted_index":{"Many":[0],"people":[1],"with":[2],"hearing":[3,18,44],"loss":[4],"struggle":[5],"to":[6,28,66,146],"comprehend":[7],"speech":[8,29,48,152],"in":[9,50,76,138],"crowded":[10],"auditory":[11,82,111,213],"scenes,":[12],"even":[13,123],"when":[14,124,194],"they":[15],"are":[16,86,127,155,187,200],"using":[17,60],"aids.":[19],"However,":[20],"the":[21,39,57,68,117,143,147,151,164,172,181,184],"focus":[22],"of":[23,41,59,71,109,120,134,150,163,183,197],"a":[24,61,77],"listener\u2019s":[25],"selective":[26,69,110],"attention":[27,70,83,112,175],"can":[30],"be":[31,114],"decoded":[32],"from":[33,116,129],"their":[34],"electroencephalography":[35],"(EEG)":[36],"recordings,":[37],"raising":[38],"prospect":[40],"smart":[42],"EEG-steered":[43],"aids":[45],"which":[46,141,160],"restore":[47],"comprehension":[49],"adverse":[51],"acoustic":[52],"environments.":[53],"Here,":[54],"we":[55],"assess":[56],"feasibility":[58],"novel,":[62],"ultra-wearable,":[63],"ear-EEG":[64,118,206],"device":[65,207],"classify":[67],"normal-hearing":[72],"listeners":[73],"who":[74],"participated":[75],"two-talker":[78],"competing-speakers":[79],"experiment.":[80],"State-of-the-art":[81],"decoding":[84,176],"algorithms":[85,90,186],"compared,":[87],"including":[88],"stimulus-reconstruction":[89],"based":[91],"on":[92],"linear":[93],"regression":[94],"as":[95,97],"well":[96],"non-linear":[98],"deep":[99],"neural":[100],"networks,":[101],"and":[102,190],"canonical":[103],"correlation":[104],"analysis":[105],"(CCA).":[106],"Meaningful":[107],"markers":[108,126],"could":[113],"extracted":[115],"signals":[119,145],"all":[121],"participants,":[122],"those":[125,159],"derived":[128],"relatively":[130],"short":[131,198],"EEG":[132,144,195],"segments":[133,196],"just":[135],"5":[136],"s":[137],"duration.":[139],"Algorithms":[140],"relate":[142],"rising":[148],"edges":[149],"temporal":[153,165],"envelope":[154,166],"more":[156],"successful":[157],"than":[158],"make":[161],"use":[162],"itself.":[167],"The":[168],"CCA":[169],"algorithm":[170],"achieves":[171],"highest":[173],"mean":[174],"accuracy,":[177],"although":[178],"differences":[179],"between":[180],"performances":[182],"three":[185],"both":[188],"small":[189],"not":[191],"statistically":[192],"significant":[193],"durations":[199],"employed.":[201],"In":[202],"summary,":[203],"our":[204],"ultra-wearable":[205],"offers":[208],"promising":[209],"prospects":[210],"for":[211],"wearable":[212],"monitoring.":[214]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-13T16:22:10.518609","created_date":"2025-10-10T00:00:00"}