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
Zakaria AldenehUniversity of MichiganVerified email at umich.edu
Chi-Chun Lee (Jeremy)Professor of Electrical Engineering, National Tsing Hua UniversityVerified email at ee.nthu.edu.tw
Soheil KhorramGoogleVerified email at google.com
Yelin KimAmazonVerified email at amazon.com
John GideonUniversity of MichiganVerified email at umich.edu
Duc LeResearch Scientist Manager, Meta AIVerified email at fb.com
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
Angeliki MetallinouAmazonVerified email at amazon.com
Theodora ChaspariTexas A&M UniversityVerified email at tamu.edu

Emily Mower Provost

Other namesEmily Mower

Associate 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	2287	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	474	2011
Emotion recognition using a hierarchical binary decision tree approach CC Le, E Mower, C Busso, S Lee, SS Narayanan Interspeech, 2009	474	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	437	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	391	2007
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	266	2010
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	247	2016
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	145	2009
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	133	2014
Using regional saliency for speech emotion recognition Z Aldeneh, E Mower Provost 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017	131	2017
Progressive neural networks for transfer learning in emotion recognition J Gideon, S Khorram, Z Aldeneh, D Dimitriadis, E Mower Provost Interspeech, 2017	126	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	115	2013
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	83	2016
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	81	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	80	2011
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	73	2019
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	73	2017
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	71	2010
Human perception of audio-visual synthetic character emotion expression in the presence of ambiguous and conflicting information E Mower, MJ Mataric, S Narayanan IEEE Transactions on Multimedia 11 (5), 843-855, 2009	67	2009
Cross-corpus acoustic emotion recognition from singing and speaking: A multi-task learning approach B Zhang, E Mower Provost, G Essl 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016	57	2016

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