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Assessing Alzheimer's Disease from Speech Using the i-vector Approach., , , , , и . SPECOM, том 11658 из Lecture Notes in Computer Science, стр. 289-298. Springer, (2019)Identifying Subjects Wearing a Mask from the Speech by Means of Encoded Speech Representations., и . TSD, том 14102 из Lecture Notes in Computer Science, стр. 131-140. Springer, (2023)Identification of Subjects Wearing a Surgical Mask from Their Speech by Means of X-vectors and Fisher Vectors., и . MDAI, том 13408 из Lecture Notes in Computer Science, стр. 108-118. Springer, (2022)Assessing Parkinson's Disease from Speech Using Fisher Vectors., , и . INTERSPEECH, стр. 3063-3067. ISCA, (2019)Using Spectral Sequence-to-Sequence Autoencoders to Assess Mild Cognitive Impairment., , , , , , , , и . ICASSP, стр. 6467-6471. IEEE, (2022)Using Custom X-vectors for the Automatic Screening of COVID-19 Based on Coughing Audio Samples., и . SACI, стр. 203-208. IEEE, (2023)Adaptation of Speaker and Speech Recognition Methods for the Automatic Screening of Speech Disorders using Machine Learning. University of Szeged, Hungary, (2023)Measuring the State-Observation-Gap in POMDPs: An Exploration of Observation Confidence and Weighting Algorithms., , , , , и . AIAI (1), том 675 из IFIP Advances in Information and Communication Technology, стр. 137-148. Springer, (2023)On the Use of Ensemble X-Vector Embeddings for Improved Sleepiness Detection., , и . SPECOM, том 13721 из Lecture Notes in Computer Science, стр. 178-187. Springer, (2022)Identifying Conflict Escalation and Primates by Using Ensemble X-Vectors and Fisher Vector Features., , , и . Interspeech, стр. 476-480. ISCA, (2021)