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Detecting Mild Cognitive Impairment by Exploiting Linguistic Information from Transcripts.

, , , , , , , and . ACL (2), The Association for Computer Linguistics, (2016)

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Cross-lingual detection of mild cognitive impairment based on temporal parameters of spontaneous speech., , , , , , , , , and . Comput. Speech Lang., (2021)Detecting Mild Cognitive Impairment from Spontaneous Speech by Correlation-Based Phonetic Feature Selection., , , , , , , and . INTERSPEECH, page 107-111. ISCA, (2016)Automatic detection of mild cognitive impairment from spontaneous speech using ASR., , , , , , , , and . INTERSPEECH, page 2694-2698. ISCA, (2015)Assessing Alzheimer's Disease from Speech Using the i-vector Approach., , , , , and . SPECOM, volume 11658 of Lecture Notes in Computer Science, page 289-298. Springer, (2019)Identifying Mild Cognitive Impairment and mild Alzheimer's disease based on spontaneous speech using ASR and linguistic features., , , , , and . Comput. Speech Lang., (2019)Linguistic Parameters of Spontaneous Speech for Identifying Mild Cognitive Impairment and Alzheimer Disease., , , , , , and . Comput. Linguistics, 48 (1): 119-153 (2022)Automatic screening of mild cognitive impairment and Alzheimer's disease by means of posterior-thresholding hesitation representation., , , , , , , , and . Comput. Speech Lang., (2022)Using Spectral Sequence-to-Sequence Autoencoders to Assess Mild Cognitive Impairment., , , , , , , , and . ICASSP, page 6467-6471. IEEE, (2022)Detecting Mild Cognitive Impairment by Exploiting Linguistic Information from Transcripts., , , , , , , and . ACL (2), The Association for Computer Linguistics, (2016)Automatic recognition of temporal speech features in type 2 diabetes mellitus with mild cognitive impairment., , , , , , , and . CogInfoCom, page 27-28. IEEE, (2019)