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Capturing Long-Term Temporal Dependencies with Convolutional Networks for Continuous Emotion Recognition.

, , , , and . INTERSPEECH, page 1253-1257. ISCA, (2017)

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Jointly Aligning and Predicting Continuous Emotion Annotations., , and . CoRR, (2019)Average Voice Modeling Based on Unbiased Decision Trees., , and . NOLISP, volume 7911 of Lecture Notes in Computer Science, page 89-96. Springer, (2013)Jointly Aligning and Predicting Continuous Emotion Annotations., , and . IEEE Trans. Affect. Comput., 12 (4): 1069-1083 (2021)Cross-Training: A Semi-Supervised Training Scheme for Speech Recognition., , , , , , and . ICASSP, page 1-5. IEEE, (2023)Trainable Time Warping: Aligning Time-series in the Continuous-time Domain., , and . ICASSP, page 3502-3506. IEEE, (2019)An optimum MMSE post-filter for Adaptive Noise Cancellation in automobile environment., , and . ISSPA, page 431-435. IEEE, (2012)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)Convolutional Neural Network-Based Speech Enhancement for Cochlear Implant Recipients., , and . INTERSPEECH, page 4265-4269. ISCA, (2019)Implementation and evaluation of statistical parametric speech synthesis methods for the Persian language., , and . MLSP, page 1-6. IEEE, (2011)