Emily Mower Provost
Emily Mower Provost
Associate Professor of Computer Science, University of Michigan
Verified email at umich.edu - Homepage
TitleCited byYear
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 (4), 335, 2008
8072008
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
3392011
Emotion recognition using a hierarchical binary decision tree approach
CC Le, E Mower, C Busso, S Lee, SS Narayanan
Interspeech, 2009
3392009
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
3182007
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
2692013
A framework for automatic human emotion classification using emotion profiles
E Mower, MJ Mataric, S Narayanan
IEEE Transactions on Audio, Speech, and Language Processing 19 (5), 1057-1070, 2010
1862010
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
1012009
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
772014
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
762013
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
752016
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
602010
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
542009
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
522013
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
502011
Using regional saliency for speech emotion recognition
Z Aldeneh, E Mower Provost
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
492017
Progressive neural networks for transfer learning in emotion recognition
J Gideon, S Khorram, Z Aldeneh, D Dimitriadis, E Mower Provost
Interspeech, 2017
482017
Investigating implicit cues for user state estimation in human-robot interaction using physiological measurements
E Mower, DJ Feil-Seifer, MJ Mataric, S Narayanan
RO-MAN 2007-The 16th IEEE International Symposium on Robot and Human …, 2007
38*2007
Combining categorical and primitives-based emotion recognition
M Grimm, E Mower, K Kroschel, S Narayanan
2006 14th European Signal Processing Conference, 1-5, 2006
382006
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
372016
Discretized Continuous Speech Emotion Recognition with Multi-Task Deep Recurrent Neural Network.
D Le, Z Aldeneh, E Mower Provost
INTERSPEECH, 1108-1112, 2017
302017
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Articles 1–20