Emily Mower Provost

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Shrikanth (Shri) NarayananUniversity Professor and Niki & Max Nikias Chair in Engineering, University of Southern CaliforniaVerified email at sipi.usc.edu
Melvin G McinnisProfessor of Psychiatry, University of MichiganVerified email at umich.edu
Carlos BussoProfessor of Electrical Engineering, The University of Texas at DallasVerified email at utdallas.edu
Sungbok LeeResearch Professor of Electrical Engineering, University of Southern CaliforniaVerified email at usc.edu
Chi-Chun Lee (Jeremy)Professor of Electrical Engineering, National Tsing Hua UniversityVerified email at ee.nthu.edu.tw
Zakaria AldenehUniversity of MichiganVerified email at umich.edu
Soheil KhorramGoogleVerified email at google.com
John GideonToyota Research InstituteVerified email at tri.global
Yelin KimAmazonVerified email at amazon.com
Duc LeResearch Lead, TikTok Music IntelligenceVerified email at bytedance.com
Biqiao ZhangVerified email at umich.edu
Maja J MatarićChan Soon-Shiong Distinguished Prof. of Computer Science, Neuroscience, & Pediatrics, U. of SouthernVerified email at usc.edu
Abe KazemzadehUniversity of St. ThomasVerified email at stthomas.edu
Georg EsslUniversity of Wisconsin - MilwaukeeVerified email at uwm.edu
Dimitrios DimitriadisApplied Scientist - AmazonVerified email at amazon.com
Samuel KimCipherome, IncVerified email at yonsei.ac.kr
Marian WilliamsUniversity of Southern CaliforniaVerified email at chla.usc.edu
Honglak LeeLG AI Research / U. MichiganVerified email at umich.edu
David Feil-SeiferAssociate Professor, University of Nevada, RenoVerified email at cse.unr.edu
Theodora ChaspariUniversity of Colorado BoulderVerified email at colorado.edu

Emily Mower Provost

Other namesEmily Mower

Professor of Computer Science, University of Michigan

Verified email at umich.edu - Homepage

Emotion Recognition Machine Learning Emotion Perception


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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	3007	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	513	2011
Emotion recognition using a hierarchical binary decision tree approach CC Le, E Mower, C Busso, S Lee, SS Narayanan Interspeech, 2009	513	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	465	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	402	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	305	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	289	2010
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	150	2014
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	148	2009
Using regional saliency for speech emotion recognition Z Aldeneh, E Mower Provost 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017	147	2017
Progressive neural networks for transfer learning in emotion recognition J Gideon, S Khorram, Z Aldeneh, D Dimitriadis, E Mower Provost Interspeech, 2017	139	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	125	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	98	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	95	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	91	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	88	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	84	2011
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	72	2010
Discretized Continuous Speech Emotion Recognition with Multi-Task Deep Recurrent Neural Network. D Le, Z Aldeneh, E Mower Provost INTERSPEECH, 1108-1112, 2017	70	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	69	2020

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