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PhyDAA: Physiological Dataset Assessing Attention.

, , , , and . IEEE Trans. Circuits Syst. Video Technol., 32 (5): 2612-2623 (2022)

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A subjective assessment of a P300 BCI system for lower-limb rehabilitation purposes., , , , , , and . EMBC, page 3845-3849. IEEE, (2012)Evaluation of HMM-based visual laughter synthesis., , , and . ICASSP, page 4578-4582. IEEE, (2014)Parametric representation for singing voice synthesis: A comparative evaluation., , , , and . ICASSP, page 2564-2568. IEEE, (2014)Evaluation of HMM-based laughter synthesis., , and . ICASSP, page 7835-7839. IEEE, (2013)Statistical methods for varying the degree of articulation in new HMM-based voices., , and . SLT, page 291-296. IEEE, (2012)On the Use of the Correlation between Acoustic Descriptors for the Normal/Pathological Voices Discrimination., , , and . EURASIP J. Adv. Signal Process., (2009)Unsupervised depth prediction from monocular sequences: Improving performances through instance segmentation., , and . CRV, page 54-61. IEEE, (2020)Spectral Analysis of Speech Signals Using Chirp Group Delay., , and . WNSP, volume 4391 of Lecture Notes in Computer Science, page 41-57. Springer, (2005)A Saliency based Feature Fusion Model for EEG Emotion Estimation., , , , , and . EMBC, page 3170-3174. IEEE, (2022)Multi-task learning for speech recognition: an overview., , and . ESANN, (2016)