{"id":"https://openalex.org/W3196818043","doi":"https://doi.org/10.21437/interspeech.2021-759","title":"Comparing Acoustic-Based Approaches for Alzheimer&amp;#8217;s Disease Detection","display_name":"Comparing Acoustic-Based Approaches for Alzheimer&amp;#8217;s Disease Detection","publication_year":2021,"publication_date":"2021-08-27","ids":{"openalex":"https://openalex.org/W3196818043","doi":"https://doi.org/10.21437/interspeech.2021-759","mag":"3196818043"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2021-759","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2021-759","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/A5010008842","display_name":"Aparna Balagopalan","orcid":"https://orcid.org/0000-0003-1621-9536"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Aparna Balagopalan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5050825493","display_name":"Jekaterina Novikova","orcid":"https://orcid.org/0000-0003-4754-6126"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jekaterina Novikova","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5010008842"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.6589,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.91636435,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"3800","last_page":"3804"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9983000159263611,"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/T11309","display_name":"Music and Audio Processing","score":0.9973000288009644,"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/generalizability-theory","display_name":"Generalizability theory","score":0.9430132508277893},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7187995314598083},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5067654252052307},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.503987729549408},{"id":"https://openalex.org/keywords/acoustic-model","display_name":"Acoustic model","score":0.5022232532501221},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48749256134033203},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4770718812942505},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.333212673664093},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.1713358461856842},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11763319373130798},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07828900218009949}],"concepts":[{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.9430132508277893},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7187995314598083},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5067654252052307},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.503987729549408},{"id":"https://openalex.org/C155635449","wikidata":"https://www.wikidata.org/wiki/Q4674699","display_name":"Acoustic model","level":3,"score":0.5022232532501221},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48749256134033203},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4770718812942505},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.333212673664093},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.1713358461856842},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11763319373130798},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07828900218009949},{"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.2021-759","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2021-759","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2044408773","https://openalex.org/W2130717063","https://openalex.org/W4383605217","https://openalex.org/W2533508831","https://openalex.org/W2742699532","https://openalex.org/W4281389974","https://openalex.org/W1911859126","https://openalex.org/W2158598479","https://openalex.org/W1964178275","https://openalex.org/W2325482719"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"study":[4],"the":[5,18,54,83,87],"performance":[6,68],"and":[7,38,58,65],"generalizability":[8],"of":[9,56,72],"three":[10],"approaches":[11,45,51],"for":[12],"AD":[13],"detection":[14],"from":[15],"speech":[16],"on":[17,53],"recent":[19],"ADReSSo":[20],"challenge":[21,88],"dataset:":[22],"1)":[23],"using":[24,29,77],"conventional":[25],"acoustic":[26,32,36,84],"features":[27,37,59],"2)":[28],"novel":[30],"pre-trained":[31],"embeddings":[33,57],"3)":[34],"combining":[35],"embeddings.":[39],"We":[40],"find":[41],"that":[42],"while":[43],"feature-based":[44],"have":[46,62],"a":[47,63,79],"higher":[48],"precision,":[49],"classification":[50],"relying":[52],"combination":[55],"prove":[60],"to":[61],"higher,":[64],"more":[66],"balanced":[67],"across":[69],"multiple":[70],"metrics":[71],"performance.":[73],"Our":[74],"best":[75],"model,":[76],"such":[78],"combined":[80],"approach,":[81],"outperforms":[82],"baseline":[85],"in":[86],"by":[89],"2.8\\%.":[90]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":6}],"updated_date":"2026-05-29T09:21:14.243279","created_date":"2025-10-10T00:00:00"}
