Articles with public access mandates - Emily Mower ProvostLearn more
Not available anywhere: 1
Automatic recognition of self-reported and perceived emotions
B Zhang, E Mower Provost
Multimodal Behavior Analysis in the Wild, 443-470, 2019
Mandates: US National Science Foundation
Available somewhere: 36
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
Mandates: German Research Foundation
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
Mandates: US National Science Foundation
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
Mandates: US National Institutes of Health
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
Mandates: US National Science Foundation, US National Institutes of Health
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
Mandates: US National Institutes of Health
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
Mandates: Autism Speaks Inc, USA
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
Mandates: US National Science Foundation
Cohort Profile
M McInnis, S Assari, M Kamali, K Ryan, S Langenecker, E Saunders, ...
International Journal of Epidemiology 47 (1), 2018
Mandates: US National Institutes of Health
Automatic assessment of speech intelligibility for individuals with aphasia
D Le, K Licata, C Persad, E Mower Provost, D Le, K Licata, C Persad, ...
IEEE Transactions on Audio, Speech and Language Processing (TASLP) 24 (11 …, 2016
Mandates: US National Institutes of Health
Classification of Huntington Disease Using Acoustic and Lexical Features.
M Perez, W Jin, D Le, N Carlozzi, P Dayalu, A Roberts, E Mower Provost
Interspeech, 1898-1902, 2018
Mandates: US National Science Foundation, US National Institutes of Health
Understanding the impact of COVID-19 on online mental health forums
L Biester, K Matton, J Rajendran, EM Provost, R Mihalcea
ACM Transactions on Management Information Systems (TMIS) 12 (4), 1-28, 2021
Mandates: US National Science Foundation
Pooling acoustic and lexical features for the prediction of valence
Z Aldeneh, S Khorram, D Dimitriadis, E Mower Provost
Proceedings of the 19th ACM International Conference on Multimodal …, 2017
Mandates: US National Science Foundation
Combining categorical and primitives-based emotion recognition
M Grimm, E Mower, K Kroschel, S Narayanan
2006 14th European Signal Processing Conference, 1-5, 2006
Mandates: German Research Foundation
Muse: a multimodal dataset of stressed emotion
M Jaiswal, CP Bara
Proceedings of the Twelfth Language Resources and Evaluation Conference, 2020
Mandates: US National Science Foundation
Predicting the distribution of emotion perception: capturing inter-rater variability
B Zhang, G Essl, E Mower Provost
Proceedings of the 19th ACM International Conference on Multimodal …, 2017
Mandates: US National Science Foundation
Exploiting Acoustic and Lexical Properties of Phonemes to Recognize Valence from Speech
B Zhang, S Khorram, E Mower Provost
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
Mandates: US National Science Foundation
Into the wild: Transitioning from recognizing mood in clinical interactions to personal conversations for individuals with bipolar disorder
K Matton, MG McInnis, E Mower Provost
Proc. Interspeech 2019, 1438-1442, 2019
Mandates: US National Science Foundation, US National Institutes of Health
Emotion Recognition from Natural Phone Conversations in Individuals With and Without Recent Suicidal Ideation
J Gideon, HT Schatten, MG McInnis, E Mower Provost
The 20th Annual Conference of the International Speech Communication …, 2019
Mandates: US National Science Foundation, US National Institutes of Health
Jointly Aligning and Predicting Continuous Emotion Annotations
S Khorram, M McInnis, E Mower Provost
IEEE Transactions on Affective Computing, 2019
Mandates: US National Science Foundation, US National Institutes of Health
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