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The Transactions of the Korean Institute of Electrical Engineers

The Transactions of the Korean Institute of Electrical Engineers

ISO Journal TitleTrans. Korean. Inst. Elect. Eng.
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References

1 
A. König, A. Satt, A. Sorin, R. Hoory, O. Toledo-Ronen, A. Derreumaux, V. Manera, F. Verhey, P. Aalten, P. H. Robert, R. David, "Automatic speech analysis for the assessment of patients with predementia and Alzheimer's disease," Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring, vol. 1, no. 1, pp. 112-124, 2015. DOI
2 
K. C. Fraser, J. A. Meltzer, F. Rudzicz, "Linguistic features identify Alzheimer's disease in narrative speech," Journal of Alzheimer's Disease, vol. 49, no. 2, pp. 407-422, 2016. Google Search
3 
F. Eyben, K. R. Scherer, B. W. Schuller, J. Sundberg, E. André, C. Busso, L. Y. Devillers, J. Epps, P. Laukka, S. S. Narayanan, K. P. Truong, "The Geneva minimalistic acoustic parameter set (GeMAPS) for voice research and affective computing," IEEE Transactions on Affective Computing, vol. 7, no. 2, pp. 190-202, 2016. DOI
4 
A. Balagopalan, B. Eyre, F. Rudzicz, J. Novikova, "To BERT or not to BERT: comparing speech and language-based approaches for Alzheimer's disease detection," pp. 2167-2171, 2020. Google Search
5 
Y. Gong, Y.-A. Chung, J. Glass, "AST: audio spectrogram transformer," pp. 571-575, 2021. Google Search
6 
S. Luz, F. Haider, S. de la Fuente, D. Fromm, B. MacWhinney, "Alzheimer's dementia recognition through spontaneous speech: the ADReSS challenge," pp. 2172-2176, 2020. Google Search
7 
S. Luz, F. Haider, S. de la Fuente, D. Fromm, B. MacWhinney, "Detecting cognitive decline using speech only: the ADReSSo challenge," pp. 3780-3784, 2021. Google Search
8 
A. Baevski, H. Zhou, A. Mohamed, M. Auli, "wav2vec 2.0: a framework for self-supervised learning of speech representations," Advances in Neural Information Processing Systems, vol. 33, pp. 12449-12460, 2020. Google Search
9 
National Information Society Agency, dataSetNumber=217, Seoul, Republic of Korea. [Online]. Available: https://aihub.or.kr/aihubdata/data/view.do?dataSetSn=217, "Cognitive function impairment diagnosis voice/conversation dataset," AI Hub, 2020. URL
10 
T.-Y. Lin, P. Goyal, R. Girshick, K. He, P. Dollár, "Focal loss for dense object detection," pp. 2980-2988, 2017. Google Search
11 
P. A. Pérez-Toro, S. P. Bayerl, T. Arias-Vergara, J. C. Vásquez-Correa, P. Klumpp, M. Schuster, E. Nöth, J. R. Orozco-Arroyave, K. Riedhammer, "Influence of the interviewer on the automatic assessment of Alzheimer's disease in the context of the ADReSSo dataset," pp. 3785-3789, 2021. Google Search
12 
M. Martinc, F. Haider, S. Pollak, S. Luz, art. 642647, "Temporal integration of text transcripts and acoustic features for Alzheimer's diagnosis based on spontaneous speech," Frontiers in Aging Neuroscience, vol. 13, pp. 1-15, 2021. DOI
13 
W.-N. Hsu, B. Bolte, Y.-H. H. Tsai, K. Lakhotia, R. Salakhutdinov, A. Mohamed, "HuBERT: self-supervised speech representation learning by masked prediction of hidden units," IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 29, pp. 3451-3460, 2021. DOI
14 
S. Chen, C. Wang, Z. Chen, Y. Wu, S. Liu, Z. Chen, J. Li, N. Kanda, T. Yoshioka, X. Xiao, J. Wu, L. Zhou, S. Ren, Y. Qian, Y. Qian, J. Wu, M. Zeng, X. Yu, F. Wei, "WavLM: large-scale self-supervised pre-training for full stack speech processing," IEEE Journal of Selected Topics in Signal Processing, vol. 16, no. 6, pp. 1505-1518, 2022. DOI
15 
L. Gauder, L. Pepino, L. Ferrer, P. Riera, "Alzheimer disease recognition using speech-based embeddings from pre-trained models," pp. 3795-3799, 2021. Google Search
16 
M. Sundararajan, A. Taly, Q. Yan, "Axiomatic attribution for deep networks," vol. 70, pp. 3319-3328, 2017. Google Search
17 
A. Conneau, A. Baevski, R. Collobert, A. Mohamed, M. Auli, "Unsupervised cross-lingual representation learning for speech recognition," pp. 2426-2430, 2021. Google Search
18 
H. Gwon, B. An, J. Jeong, K. Kwon, "AI-based drunk and drowsy driving accident prevention system," Journal of Artificial Intelligence Convergence Technology, vol. 5, no. 4, pp. 199-205, 2025. Google Search
19 
H. Jung, S.-M. Jo, "Trends analysis of deep learning-based sentimental analysis model," Journal of Artificial Intelligence Convergence Technology, vol. 5, no. 4, pp. 282-288, 2025. Google Search