{"id":"https://openalex.org/W3198521429","doi":"https://doi.org/10.21437/interspeech.2021-1633","title":"Alzheimer&amp;#8217;s Dementia Recognition Using Acoustic, Lexical, Disfluency and Speech Pause Features Robust to Noisy Inputs","display_name":"Alzheimer&amp;#8217;s Dementia Recognition Using Acoustic, Lexical, Disfluency and Speech Pause Features Robust to Noisy Inputs","publication_year":2021,"publication_date":"2021-08-27","ids":{"openalex":"https://openalex.org/W3198521429","doi":"https://doi.org/10.21437/interspeech.2021-1633","mag":"3198521429"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2021-1633","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2021-1633","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2021","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/A5066874047","display_name":"Morteza Rohanian","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Morteza Rohanian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044827963","display_name":"Julian Hough","orcid":"https://orcid.org/0000-0002-4345-6759"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Julian Hough","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5047970122","display_name":"Matthew Purver","orcid":"https://orcid.org/0000-0003-2297-1273"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Matthew Purver","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.7782,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.94347425,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"3820","last_page":"3824"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.993399977684021,"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":0.993399977684021,"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/T10863","display_name":"Voice and Speech Disorders","score":0.9883999824523926,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7579271793365479},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6734238862991333},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5174242258071899},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5116224884986877},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.35160431265830994}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7579271793365479},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6734238862991333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5174242258071899},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5116224884986877},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.35160431265830994},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/interspeech.2021-1633","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2021-1633","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2021","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.800000011920929,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G3331660073","display_name":null,"funder_award_id":"EP/S033564/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W3204019825","https://openalex.org/W2296205523"],"abstract_inverted_index":{"We":[0,102],"present":[1],"two":[2],"multimodal":[3,90,110],"fusion-based":[4],"deep":[5],"learning":[6],"models":[7,85],"that":[8],"consume":[9],"ASR":[10,125],"transcribed":[11],"speech":[12],"and":[13,30,56,67,92,96,112,124],"acoustic":[14,60,122],"data":[15],"simultaneously":[16],"to":[17,31],"classify":[18],"whether":[19],"a":[20,23,43,57],"speaker":[21],"in":[22],"structured":[24],"diagnostic":[25],"task":[26],"has":[27],"Alzheimer's":[28],"Disease":[29],"what":[32],"degree,":[33],"evaluating":[34],"the":[35,89],"ADReSSo":[36],"challenge":[37],"2021":[38],"data.":[39],"Our":[40],"best":[41],"model,":[42],"BiLSTM":[44],"with":[45,118],"highway":[46],"layers":[47],"using":[48,88,109],"words,":[49],"word":[50,93],"probabilities,":[51,94],"disfluency":[52,95],"features,":[53,61],"pause":[54,97],"information,":[55],"variety":[58],"of":[59,65,71],"achieves":[62],"an":[63],"accuracy":[64],"84%":[66],"RSME":[68],"error":[69],"prediction":[70],"4.26":[72],"on":[73],"MMSE":[74],"cognitive":[75,79],"scores.":[76],"While":[77],"predicting":[78],"decline":[80],"is":[81],"more":[82],"challenging,":[83],"our":[84],"show":[86,103],"improvement":[87],"approach":[91],"information":[98],"over":[99],"word-only":[100],"models.":[101],"considerable":[104],"gains":[105],"for":[106],"AD":[107],"classification":[108],"fusion":[111],"gating,":[113],"which":[114],"can":[115],"effectively":[116],"deal":[117],"noisy":[119],"inputs":[120],"from":[121],"features":[123],"hypotheses.":[126]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
