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Emily Mower Provost
Emily Mower Provost
Professor of Computer Science, University of Michigan
Zweryfikowany adres z umich.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
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
41282008
Emotion recognition using a hierarchical binary decision tree approach
CC Le, E Mower, C Busso, S Lee, SS Narayanan
Interspeech, 2009
5692009
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
5632011
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
5172013
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
4262007
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
4152016
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
3212010
Using regional saliency for speech emotion recognition
Z Aldeneh, E Mower Provost
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
1612017
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
1612009
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
1592014
Progressive neural networks for transfer learning in emotion recognition
J Gideon, S Khorram, Z Aldeneh, D Dimitriadis, E Mower Provost
Interspeech, 2017
1552017
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
1322013
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
1242019
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
1082017
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
1082016
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
982013
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
912020
Discretized Continuous Speech Emotion Recognition with Multi-Task Deep Recurrent Neural Network.
D Le, Z Aldeneh, E Mower Provost
INTERSPEECH, 1108-1112, 2017
902017
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
882011
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
772016
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