Deep neural networks for acoustic emotion recognition: Raising the benchmarks. 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 5688-5691, May 2011. [PUMA: Analysis; Computing;Deep Discriminant Networks;Emotion Neural Recognition;Generalized acoustic analysis;linear artificial classification;multilayer discriminant emotion extraction;Speech;Support extraction;neural feature;acoustic machine;Acoustics;Artificial machines;Affective machines;GerDA nets;support network;support networks;Databases;Emotion networks;generalized neural processing;emotion recognition;Feature recognition;deep recognition;feature signal vector]
Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups. IEEE Signal Processing Magazine, (29)6:82--97, IEEE, 2012. [PUMA: TIMIT acoustic deep modeling, networks, neural recognition, speech]
Deep convolutional neural networks for large-scale speech tasks. Neural Networks, (64):39--48, Elsevier, 2015. [PUMA: LVCSR deep learning, nets, neural recognition, speech]
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]
Improvements to speaker adaptive training of deep neural networks. Spoken Language Technology Workshop (SLT), 2014 IEEE, 165--170, 2014. [PUMA: adaptation, adaptive deep i-vector networks, neural recognition, speaker speech training,]