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Cross-Corpus Acoustic Emotion Recognition with Multi-Task Learning: Seeking Common Ground While Preserving Differences., , and . IEEE Trans. Affect. Comput., 10 (1): 85-99 (2019)Predicting Emotion Perception Across Domains: A Study of Singing and Speaking., , , and . AAAI, page 1328-1335. AAAI Press, (2015)Predicting the distribution of emotion perception: capturing inter-rater variability., , and . ICMI, page 51-59. ACM, (2017)Spatial Attention for Far-Field Speech Recognition with Deep Beamforming Neural Networks., , , , , and . ICASSP, page 7499-7503. IEEE, (2020)Improving the Generalizability of Speech Emotion Recognition: Methods for Handling Data and Label Variability.. University of Michigan, USA, (2018)LiCo-Net: Linearized Convolution Network for Hardware-efficient Keyword Spotting., , , , , , , , , and 3 other author(s). CoRR, (2022)Disentangled Training with Adversarial Examples for Robust Small-Footprint Keyword Spotting., , , , , , , and . ICASSP, page 1-5. IEEE, (2023)Improving the generalizability of emotion recognition systems: towards emotion recognition in the wild.. ICMI, page 582-586. ACM, (2016)Automatic recognition of self-reported and perceived emotion: does joint modeling help?, , and . ICMI, page 217-224. ACM, (2016)Recognizing emotion from singing and speaking using shared models., , and . ACII, page 139-145. IEEE Computer Society, (2015)