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Emily Mower Provost
Emily Mower Provost
Sonstige NamenEmily Mower
Associate Professor of Computer Science, University of Michigan
Bestätigte E-Mail-Adresse bei umich.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
22792008
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
4732011
Emotion recognition using a hierarchical binary decision tree approach
CC Le, E Mower, C Busso, S Lee, SS Narayanan
Interspeech, 2009
4732009
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
4372013
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
3912007
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
2662010
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
2462016
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
1452009
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
1332014
Using regional saliency for speech emotion recognition
Z Aldeneh, E Mower Provost
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
1312017
Progressive neural networks for transfer learning in emotion recognition
J Gideon, S Khorram, Z Aldeneh, D Dimitriadis, E Mower Provost
Interspeech, 2017
1262017
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
1152013
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
832016
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
812013
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
802011
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
732019
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
732017
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
712010
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
672009
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
572016
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