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On rater reliability and agreement based dynamic active learning.

, , , , and . ACII, page 70-76. IEEE Computer Society, (2015)

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Speech emotion recognition combining acoustic features and linguistic information in a hybrid support vector machine-belief network architecture., , and . ICASSP (1), page 577-580. IEEE, (2004)Attention-augmented End-to-end Multi-task Learning for Emotion Prediction from Speech., , and . ICASSP, page 6705-6709. IEEE, (2019)Semi-supervised learning helps in sound event classification., and . ICASSP, page 333-336. IEEE, (2012)A novel approach for automatic acoustic novelty detection using a denoising autoencoder with bidirectional LSTM neural networks., , , , and . ICASSP, page 1996-2000. IEEE, (2015)MAPTRAITS 2014: The First Audio/Visual Mapping Personality Traits Challenge., , , , and . MAPTRAITS@ICMI, page 3-9. ACM, (2014)Acoustic Gait-based Person Identification using Hidden Markov Models., , , and . MAPTRAITS@ICMI, page 25-30. ACM, (2014)A Cnn-Gru Approach to Capture Time-Frequency Pattern Interdependence for Snore Sound Classification., , and . EUSIPCO, page 997-1001. IEEE, (2018)Big Data, Deep Learning - At the Edge of X-Ray Speaker Analysis.. SPECOM, volume 10458 of Lecture Notes in Computer Science, page 20-34. Springer, (2017)Improving generalisation and robustness of acoustic affect recognition., , and . ICMI, page 517-522. ACM, (2012)AVEC 2012: the continuous audio/visual emotion challenge., , , , and . ICMI, page 449-456. ACM, (2012)