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OpenSMILE: the Munich versatile and fast open-source audio feature extractor
Free accessBASE | 2020| -
Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network
Free accessBASE | 2016| -
Recent developments in openSMILE, the Munich open-source multimedia feature extractor
Free accessBASE | 2013| -
AVEC 2016: depression, mood, and emotion recognition workshop and challenge
Free accessBASE | 2016| -
AVEC 2017: real-life depression, and affect recognition workshop and challenge
Free accessBASE | 2017| -
AVEC 2018 workshop and challenge: bipolar disorder and cross-cultural affect recognition
Free accessBASE | 2018| -
Universum autoencoder-based domain adaptation for speech emotion recognition
Free accessBASE | 2017| -
Augment to prevent: short-text data augmentation in deep learning for hate-speech classification
Free accessBASE | 2019| -
An image-based deep spectrum feature representation for the recognition of emotional speech
Free accessBASE | 2017| -
Attention-augmented end-to-end multi-task learning for emotion prediction from speech
Free accessBASE | 2019| -
Discriminatively trained recurrent neural networks for single-channel speech separation
Free accessBASE | 2014|