{"id":"https://openalex.org/W2964295436","doi":"https://doi.org/10.21437/interspeech.2018-1713","title":"Detecting Alzheimer\u2019s Disease Using Gated Convolutional Neural Network from Audio Data","display_name":"Detecting Alzheimer\u2019s Disease Using Gated Convolutional Neural Network from Audio Data","publication_year":2018,"publication_date":"2018-08-28","ids":{"openalex":"https://openalex.org/W2964295436","doi":"https://doi.org/10.21437/interspeech.2018-1713","mag":"2964295436"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2018-1713","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2018-1713","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2018","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/A5050277853","display_name":"Tifani Warnita","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Tifani Warnita","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101261291","display_name":"Nakamasa Inoue","orcid":"https://orcid.org/0009-0006-1145-0914"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nakamasa Inoue","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5081629487","display_name":"Koichi Shinoda","orcid":"https://orcid.org/0000-0003-1095-3203"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Koichi Shinoda","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5050277853"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.57412426,"has_fulltext":false,"cited_by_count":44,"citation_normalized_percentile":{"value":0.93081,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9725000262260437,"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":0.9725000262260437,"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":0.9724000096321106,"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":0.7618628740310669},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7561908960342407},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44149380922317505},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3750821650028229}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7618628740310669},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7561908960342407},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44149380922317505},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3750821650028229}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/interspeech.2018-1713","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2018-1713","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2018","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8500000238418579,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2748454020","https://openalex.org/W3119610945","https://openalex.org/W3181746755","https://openalex.org/W3016958897","https://openalex.org/W4283379348","https://openalex.org/W2963891724","https://openalex.org/W4312417841","https://openalex.org/W2735477435","https://openalex.org/W3045739591","https://openalex.org/W2807436399"],"abstract_inverted_index":{"We":[0,57],"propose":[1],"an":[2],"automatic":[3],"detection":[4],"method":[5,60,66],"of":[6,29,70],"Alzheimer's":[7],"diseases":[8],"using":[9,61],"a":[10,25],"gated":[11],"convolutional":[12],"neural":[13],"network":[14],"(GCNN)":[15],"from":[16],"speech":[17],"data.":[18],"This":[19],"GCNN":[20],"can":[21,32,50],"be":[22,51],"trained":[23],"with":[24],"relatively":[26],"small":[27],"amount":[28],"data":[30],"and":[31],"capture":[33],"the":[34,68,76],"temporal":[35],"information":[36],"in":[37],"audio":[38],"paralinguistic":[39],"features.":[40],"Since":[41],"it":[42,49],"does":[43],"not":[44],"utilize":[45],"any":[46,55],"linguistic":[47],"features,":[48],"easily":[52],"applied":[53],"to":[54],"languages.":[56],"evaluated":[58],"our":[59],"Pitt":[62],"Corpus.":[63],"The":[64],"proposed":[65],"achieved":[67],"accuracy":[69],"73.6%,":[71],"which":[72],"is":[73],"better":[74],"than":[75],"conventional":[77],"sequential":[78],"minimal":[79],"optimization":[80],"(SMO)":[81],"by":[82],"7.6":[83],"points.":[84]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}