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The Role of Empirical Mode Decomposition on Emotion Classification Using Stimulated EEG Signals., , , , , , and . ACITY (3), volume 178 of Advances in Intelligent Systems and Computing, page 55-62. Springer, (2012)Multimodal and Multiresolution Depression Detection from Speech and Facial Landmark Features., , , , and . AVEC@ACM Multimedia, page 43-50. ACM, (2016)Towards Predicting Physiology from Speech During Stressful Conversations: Heart Rate and Respiratory Sinus Arrhythmia., , , and . ICASSP, page 4944-4948. IEEE, (2018)Multi-Task Discriminative Training of Hybrid DNN-TVM Model for Speaker Verification with Noisy and Far-Field Speech., , , , , , , and . INTERSPEECH, page 2463-2467. ISCA, (2019)Speaker2Vec: Unsupervised Learning and Adaptation of a Speaker Manifold Using Deep Neural Networks with an Evaluation on Speaker Segmentation., and . INTERSPEECH, page 3567-3571. ISCA, (2017)Hierarchy-aware Loss Function on a Tree Structured Label Space for Audio Event Detection., , , and . ICASSP, page 6-10. IEEE, (2019)Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series., , , , , , and . CoRR, (2024)Neural Predictive Coding using Convolutional Neural Networks towards Unsupervised Learning of Speaker Characteristics., and . CoRR, (2018)AutoMixer for Improved Multivariate Time-Series Forecasting on BizITOps Data., , , , , , , , , and 4 other author(s). CoRR, (2023)Neural Predictive Coding Using Convolutional Neural Networks Toward Unsupervised Learning of Speaker Characteristics., and . IEEE ACM Trans. Audio Speech Lang. Process., 27 (10): 1577-1589 (2019)