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Aphasic Speech Recognition Using a Mixture of Speech Intelligibility Experts., , and . INTERSPEECH, page 4986-4990. ISCA, (2020)Discretized Continuous Speech Emotion Recognition with Multi-Task Deep Recurrent Neural Network., , and . INTERSPEECH, page 1108-1112. ISCA, (2017)Capturing Long-Term Temporal Dependencies with Convolutional Networks for Continuous Emotion Recognition., , , , and . INTERSPEECH, page 1253-1257. ISCA, (2017)Wild wild emotion: a multimodal ensemble approach., , , , , , and . ICMI, page 501-505. ACM, (2016)Improving End-of-Turn Detection in Spoken Dialogues by Detecting Speaker Intentions as a Secondary Task., , and . ICASSP, page 6159-6163. IEEE, (2018)Muse-ing on the Impact of Utterance Ordering on Crowdsourced Emotion Annotations., , , , , , and . ICASSP, page 7415-7419. IEEE, (2019)Pooling acoustic and lexical features for the prediction of valence., , , and . ICMI, page 68-72. ACM, (2017)Progressive Neural Networks for Transfer Learning in Emotion Recognition., , , , and . INTERSPEECH, page 1098-1102. ISCA, (2017)Using regional saliency for speech emotion recognition., and . ICASSP, page 2741-2745. IEEE, (2017)Controlling for Confounders in Multimodal Emotion Classification via Adversarial Learning., , and . ICMI, page 174-184. ACM, (2019)