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Emily Mower Provost · Study
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Author
Emily Mower Provost
11 works
· latest 2017
· 1 institutions
cluster: provisional
ORCID 0000-0003-1870-6063
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Citations
1,683
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Most cited in this library
Deep learning for robust feature generation in audiovisual emotion recognition
2013 · 401 citations
MSP-IMPROV: An Acted Corpus of Dyadic Interactions to Study Emotion Perception
2016 · 391 citations
Ecologically valid long-term mood monitoring of individuals with bipolar disorder using speech
2014 · 140 citations
Progressive Neural Networks for Transfer Learning in Emotion Recognition
2017 · 129 citations
Using regional saliency for speech emotion recognition
2017 · 126 citations
Works
11 shown
Progressive Neural Networks for Transfer Learning in Emotion Recognition
Interspeech (USB)
·
2017
·
5 authors
·
other
·
Open access
129
citations
Discretized Continuous Speech Emotion Recognition with Multi-Task Deep Recurrent Neural Network
Interspeech (USB)
·
2017
·
3 authors
·
other
54
citations
Cross-Corpus Acoustic Emotion Recognition with Multi-Task Learning: Seeking Common Ground While Preserving Differences
IEEE Transactions on Affective Computing
·
2017
·
3 authors
83
citations
Using regional saliency for speech emotion recognition
IEEE International Conference on Acoustics Speech and Signal Processing
·
2017
·
2 authors
·
other
126
citations
Mood state prediction from speech of varying acoustic quality for individuals with bipolar disorder
IEEE International Conference on Acoustics Speech and Signal Processing
·
2016
·
3 authors
·
other
·
Open access
94
citations
Cross-corpus acoustic emotion recognition from singing and speaking: A multi-task learning approach
IEEE International Conference on Acoustics Speech and Signal Processing
·
2016
·
3 authors
·
other
69
citations
MSP-IMPROV: An Acted Corpus of Dyadic Interactions to Study Emotion Perception
IEEE Transactions on Affective Computing
·
2016
·
6 authors
391
citations
Ecologically valid long-term mood monitoring of individuals with bipolar disorder using speech
IEEE International Conference on Acoustics Speech and Signal Processing
·
2014
·
6 authors
·
other
·
Open access
140
citations
Emotion recognition from spontaneous speech using Hidden Markov models with deep belief networks
IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU)
·
2013
·
2 authors
·
other
119
citations
Deep learning for robust feature generation in audiovisual emotion recognition
IEEE International Conference on Acoustics Speech and Signal Processing
·
2013
·
3 authors
·
other
401
citations
Emotion classification via utterance-level dynamics: A pattern-based approach to characterizing affective expressions
IEEE International Conference on Acoustics Speech and Signal Processing
·
2013
·
2 authors
·
other
77
citations