Publications

Kun Han, Dong Yu, and Ivan Tashev. Speech emotion recognition using deep neural network and extreme learning machine.. Interspeech, 223--227, 2014. [PUMA: DNN, ELM, IEMOCAP, classification emotion recognition, speech]

Rui Xia, and Yang Liu. Leveraging valence and activation information via multi-task learning for categorical emotion recognition. 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 5301--5305, 2015. [PUMA: IEMOCAP, belief classification, deep emotion multi-task, network, recognition, regression speech]

Joan Gomes, and Mohamed El-Sharkawy. i-Vector Algorithm with Gaussian Mixture Model for Efficient Speech Emotion Recognition. Computational Science and Computational Intelligence (CSCI), 2015 International Conference on, 476--480, 2015. [PUMA: GMM, IEMOCAP, MAP, UBM, classification emotion i-vector, recognition, speech]

Jaebok Kim, Khiet P Truong, Gwenn Englebienne, and Vanessa Evers. Learning spectro-temporal features with 3D CNNs for speech emotion recognition. arXiv preprint arXiv:1708.05071, 2017. [PUMA: 3D CNN, IEMOCAP, Recola, Semaine, convolution corpora, emotion multilingual, multiple recognition, spectrogram, speech]