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]

Qirong Mao, Ming Dong, Zhengwei Huang, and Yongzhao Zhan. Learning salient features for speech emotion recognition using convolutional neural networks. IEEE Transactions on Multimedia, (16)8:2203--2213, IEEE, 2014. [PUMA: CNN, DES, Emo-DB, MES, SAVEE, analysis, classification discriminative emotion feature learning, recognition, salient speech]

Thurid Vogt, and Elisabeth André. Improving automatic emotion recognition from speech via gender differentiation. Proc. Language Resources and Evaluation Conference (LREC 2006), Genoa, 2006. [PUMA: Berlin Emotion SmartKom, classification database differentiation, emotion emotional gender of recognition, speech speech,]

Chenchen Huang, Wei Gong, Wenlong Fu, and Dongyu Feng. A Research of Speech Emotion Recognition Based on Deep Belief Network and SVM. Mathematical Problems in Engineering, (2014)Hindawi Publishing Corporation, 2014. [PUMA: SVM, belief classification deep emotion network, recognition, speech]

Neri E Cibau, Enrique M Albornoz, and Hugo L Rufiner. Speech emotion recognition using a deep autoencoder. Proceedings of the XV Reunión de Trabajo en Procesamiento de la Información y Control (RPIC 2013), San Carlos de Bariloche, 2013. [PUMA: Emo-DB, Multilayer autoencoder, classification emotion perceptron, recognition, speech]

Hesam Sagha, Pavel Matejka, Maryna Gavryukova, Filip Povolny, Erik Marchi, and Björn Schuller. Enhancing multilingual recognition of emotion in speech by language identification. Interspeech, 2016. [PUMA: EU-EMOSS, classification cross-lingual, emotion i-vector, identification, language multilingual, recognition, speech]

Qirong Mao, Wentao Xue, Qiru Rao, Feifei Zhang, and Yongzhao Zhan. Domain adaptation for speech emotion recognition by sharing priors between related source and target classes. 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2608--2612, 2016. [PUMA: Domain adaptation, classification emotion nets, neural recognition, speech]

Maxim Sidorov, Stefan Ultes, and Alexander Schmitt. Emotions are a personal thing: Towards speaker-adaptive emotion recognition. 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 4803--4807, 2014. [PUMA: adaptive classification emotion identification, recognition, speaker 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]