| IEMOCAP: Interactive emotional dyadic motion capture database C Busso, M Bulut, CC Lee, A Kazemzadeh, E Mower, S Kim, JN Chang, ... Language resources and evaluation 42, 335-359, 2008 | 3495 | 2008 |
| Emotion recognition using a hierarchical binary decision tree approach CC Lee, E Mower, C Busso, S Lee, S Narayanan Speech Communication 53 (9), 1162-1171, 2011 | 534 | 2011 |
| Emotion recognition using a hierarchical binary decision tree approach CC Le, E Mower, C Busso, S Lee, SS Narayanan Interspeech, 2009 | 534 | 2009 |
| Deep learning for robust feature generation in audiovisual emotion recognition Y Kim, H Lee, E Mower Provost IEEE International Conference on Acoustics, Speech and Signal Processing …, 2013 | 489 | 2013 |
| Primitives-based evaluation and estimation of emotions in speech M Grimm, K Kroschel, E Mower, S Narayanan Speech communication 49 (10-11), 787-800, 2007 | 412 | 2007 |
| MSP-IMPROV: An acted corpus of dyadic interactions to study emotion perception C Busso, S Parthasarathy, A Burmania, M AbdelWahab, N Sadoughi, ... IEEE Transactions on Affective Computing 8 (1), 67-80, 2016 | 353 | 2016 |
| A framework for automatic human emotion classification using emotion profiles E Mower, MJ Matarić, S Narayanan IEEE Transactions on Audio, Speech, and Language Processing 19 (5), 1057-1070, 2010 | 312 | 2010 |
| Interpreting ambiguous emotional expressions E Mower, A Metallinou, CC Lee, A Kazemzadeh, C Busso, S Lee, ... 2009 3rd International Conference on Affective Computing and Intelligent …, 2009 | 157 | 2009 |
| Using regional saliency for speech emotion recognition Z Aldeneh, E Mower Provost 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 154 | 2017 |
| Ecologically Valid Long-Term Mood Monitoring Of Individuals With Bipolar Disorder Using Speech ZN Karam, E Mower Provost, S Singh, J Montgomery, C Archer, ... IEEE International Conference on Acoustics, Speech and Signal Processing …, 2014 | 154 | 2014 |
| Progressive neural networks for transfer learning in emotion recognition J Gideon, S Khorram, Z Aldeneh, D Dimitriadis, E Mower Provost Interspeech, 2017 | 146 | 2017 |
| Emotion Recognition From Spontaneous Speech Using Hidden Markov Models With Deep Belief Networks D Le, E Mower Provost IEEE Automatic Speech Recognition and Understanding (ASRU), 2013 | 130 | 2013 |
| Improving Cross-Corpus Speech Emotion Recognition with Adversarial Discriminative Domain Generalization (ADDoG) J Gideon, MG McInnis, E Mower Provost IEEE Transactions of Affective Computing, 2019 | 106 | 2019 |
| Mood state prediction from speech of varying acoustic quality for individuals with bipolar disorder J Gideon, E Mower Provost, M McInnis 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 104 | 2016 |
| Cross-corpus acoustic emotion recognition with multi-task learning: Seeking common ground while preserving differences B Zhang, E Mower Provost, G Essl IEEE Transactions on Affective Computing 10 (1), 85-99, 2017 | 100 | 2017 |
| Emotion classification via utterance-level dynamics: A pattern-based approach to characterizing affective expressions Y Kim, E Mower Provost IEEE International Conference on Acoustics, Speech and Signal Processing …, 2013 | 94 | 2013 |
| Rachel: Design of an emotionally targeted interactive agent for children with autism E Mower, MP Black, E Flores, M Williams, S Narayanan 2011 IEEE International Conference on Multimedia and Expo, 1-6, 2011 | 87 | 2011 |
| Discretized Continuous Speech Emotion Recognition with Multi-Task Deep Recurrent Neural Network. D Le, Z Aldeneh, E Mower Provost INTERSPEECH, 1108-1112, 2017 | 85 | 2017 |
| Privacy enhanced multimodal neural representations for emotion recognition M Jaiswal, EM Provost Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 7985-7993, 2020 | 78 | 2020 |
| Speech emotion estimation in 3D space D Wu, TD Parsons, E Mower, S Narayanan 2010 IEEE International Conference on Multimedia and Expo, 737-742, 2010 | 73 | 2010 |
Shrikanth (Shri) NarayananUniversity Professor and Niki & Max Nikias Chair in Engineering, University of Southern California在 sipi.usc.edu 的电子邮件经过验证
