{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,23]],"date-time":"2026-03-23T22:14:14Z","timestamp":1774304054074,"version":"3.50.1"},"reference-count":25,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,6,6]],"date-time":"2021-06-06T00:00:00Z","timestamp":1622937600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,6,6]],"date-time":"2021-06-06T00:00:00Z","timestamp":1622937600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,6,6]],"date-time":"2021-06-06T00:00:00Z","timestamp":1622937600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,6,6]]},"DOI":"10.1109\/icassp39728.2021.9413566","type":"proceedings-article","created":{"date-parts":[[2021,5,13]],"date-time":"2021-05-13T19:53:45Z","timestamp":1620935625000},"page":"7323-7327","source":"Crossref","is-referenced-by-count":25,"title":["Detecting Alzheimer\u2019s Disease from Speech Using Neural Networks with Bottleneck Features and Data Augmentation"],"prefix":"10.1109","author":[{"given":"Zhaoci","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhiqiang","family":"Guo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhenhua","family":"Ling","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yunxia","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","first-page":"5841","article-title":"Automatic diagnosis of Alzheimer&#x2019;s disease using neural network language models","author":"fritsch","year":"2019","journal-title":"IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP)"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-2110"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2019-1799"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2018-1713"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2018-1132"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2018-1242"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2007.367023"},{"key":"ref17","article-title":"Feed-forward networks with attention can solve some long-term memory problems","author":"raffel","year":"2016","journal-title":"ICLR Workshop 2016"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-2034"},{"key":"ref19","first-page":"5998","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref4","author":"goodglass","year":"2000","journal-title":"Boston Diagnostic Aphasia Examination Record Booklet"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3389\/fnagi.2015.00195"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3233\/JAD-190452"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1001\/archneur.1994.00540180063015"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3233\/JAD-150520"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/APSIPAASC47483.2019.9023041"},{"key":"ref2","first-page":"3236","author":"patterson","year":"2018","journal-title":"World Alzheimer Report 2018 The State of the Art of Dementia Research New Frontiers"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2017-1572"},{"key":"ref1","article-title":"World health organization (2017) dementia fact sheet","author":"organization","year":"2017"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2019-2680"},{"key":"ref22","article-title":"The interspeech 2013 computational paralinguistics challenge: Social signals, conflict, emotion, autism","author":"schuller","year":"2013","journal-title":"Proceedings INTERSPEECH 2013 14th Annual Conference of the International Speech Communication Association"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/2502081.2502224"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyg.2013.00292"},{"key":"ref25","doi-asserted-by":"crossref","first-page":"498","DOI":"10.21437\/Interspeech.2017-1386","article-title":"Montreal forced aligner: Trainable text-speech alignment using Kaldi","volume":"2017","author":"mcauliffe","year":"2017","journal-title":"Proc INTERSPEECH"}],"event":{"name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","location":"Toronto, ON, Canada","start":{"date-parts":[[2021,6,6]]},"end":{"date-parts":[[2021,6,11]]}},"container-title":["ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9413349\/9413350\/09413566.pdf?arnumber=9413566","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:40:58Z","timestamp":1652197258000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9413566\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6,6]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/icassp39728.2021.9413566","relation":{},"subject":[],"published":{"date-parts":[[2021,6,6]]}}}