Emily Mower Provost

Emily Mower Provost's AcademicInfluence.com Rankings

Emily Mower Provost

Engineering

#7854

World Rank

#9295

Historical Rank

Electrical Engineering

#2549

World Rank

#2671

Historical Rank

engineering Degrees

Emily Mower Provost

Computer Science

#10277

World Rank

#10779

Historical Rank

Machine Learning

#5152

World Rank

#5217

Historical Rank

Artificial Intelligence

#5526

World Rank

#5604

Historical Rank

Database

#9115

World Rank

#9585

Historical Rank

computer-science Degrees

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Engineering
Computer Science

Why Is Emily Mower Provost Influential?

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According to Wikipedia, Emily Mower Provost is a professor of computer science at the University of Michigan. She directs the Computational Human-Centered Artificial Intelligence Laboratory. Professional history Provost received her B.S. in electrical engineering from Tufts University in 2004, and her M.S. and Ph.D. in electrical engineering from the University of Southern California, Los Angeles, CA in 2007 and 2010, respectively. After postdoctoral research in the Signal Analysis and Interpretation Lab at the University of Southern California, Provost joined the Computer Science and Engineering Department of the University of Michigan in 2012.

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Emily Mower Provost's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

IEMOCAP: interactive emotional dyadic motion capture database (2008) (2025)
Emotion recognition using a hierarchical binary decision tree approach (2011) (392)
Deep learning for robust feature generation in audiovisual emotion recognition (2013) (359)
Primitives-based evaluation and estimation of emotions in speech (2007) (315)
MSP-IMPROV: An Acted Corpus of Dyadic Interactions to Study Emotion Perception (2017) (219)
A Framework for Automatic Human Emotion Classification Using Emotion Profiles (2011) (213)
Interpreting ambiguous emotional expressions (2009) (130)
Ecologically valid long-term mood monitoring of individuals with bipolar disorder using speech (2014) (110)
Using regional saliency for speech emotion recognition (2017) (103)
Progressive Neural Networks for Transfer Learning in Emotion Recognition (2017) (101)
Emotion recognition from spontaneous speech using Hidden Markov models with deep belief networks (2013) (101)
Emotion classification via utterance-level dynamics: A pattern-based approach to characterizing affective expressions (2013) (69)
Improving Cross-Corpus Speech Emotion Recognition with Adversarial Discriminative Domain Generalization (ADDoG) (2019) (68)
Mood state prediction from speech of varying acoustic quality for individuals with bipolar disorder (2016) (65)
Human Perception of Audio-Visual Synthetic Character Emotion Expression in the Presence of Ambiguous and Conflicting Information (2009) (61)
Cross-Corpus Acoustic Emotion Recognition with Multi-Task Learning: Seeking Common Ground While Preserving Differences (2019) (60)
Rachel: Design of an emotionally targeted interactive agent for children with autism (2011) (60)
Speech emotion estimation in 3D space (2010) (57)
Cross-corpus acoustic emotion recognition from singing and speaking: A multi-task learning approach (2016) (48)
Investigating Implicit Cues for User State Estimation in Human-Robot Interaction Using Physiological Measurements (2007) (46)
Privacy Enhanced Multimodal Neural Representations for Emotion Recognition (2019) (45)
Discretized Continuous Speech Emotion Recognition with Multi-Task Deep Recurrent Neural Network (2017) (41)
Combining categorical and primitives-based emotion recognition (2006) (41)
The PRIORI Emotion Dataset: Linking Mood to Emotion Detected In-the-Wild (2018) (40)
Automatic Assessment of Speech Intelligibility for Individuals With Aphasia (2016) (39)
Pooling acoustic and lexical features for the prediction of valence (2017) (38)
Identifying salient sub-utterance emotion dynamics using flexible units and estimates of affective flow (2013) (37)
Recognizing emotion from singing and speaking using shared models (2015) (33)
Automatic quantitative analysis of spontaneous aphasic speech (2018) (33)
A hierarchical static-dynamic framework for emotion classification (2011) (32)
Classification of Huntington Disease Using Acoustic and Lexical Features (2018) (32)
Capturing Long-Term Temporal Dependencies with Convolutional Networks for Continuous Emotion Recognition (2017) (31)
Improving Automatic Recognition of Aphasic Speech with AphasiaBank (2016) (30)
Say Cheese vs. Smile: Reducing Speech-Related Variability for Facial Emotion Recognition (2014) (27)
ISLA: Temporal Segmentation and Labeling for Audio-Visual Emotion Recognition (2019) (24)
Emotion spotting: discovering regions of evidence in audio-visual emotion expressions (2016) (23)
MuSE: a Multimodal Dataset of Stressed Emotion (2020) (21)
Emotion Recognition During Speech Using Dynamics of Multiple Regions of the Face (2015) (20)
Recognition of Depression in Bipolar Disorder: Leveraging Cohort and Person-Specific Knowledge (2016) (19)
Into the Wild: Transitioning from Recognizing Mood in Clinical Interactions to Personal Conversations for Individuals with Bipolar Disorder (2019) (19)
Emotion Recognition from Natural Phone Conversations in Individuals with and without Recent Suicidal Ideation (2019) (18)
Modeling pronunciation, rhythm, and intonation for automatic assessment of speech quality in aphasia rehabilitation (2014) (18)
Predicting the distribution of emotion perception: capturing inter-rater variability (2017) (17)
Modeling transition patterns between events for temporal human action segmentation and classification (2015) (17)
Automatic Paraphasia Detection from Aphasic Speech: A Preliminary Study (2017) (17)
Automatic analysis of speech quality for aphasia treatment (2014) (17)
Quantifying the Effects of COVID-19 on Mental Health Support Forums (2020) (16)
Muse-ing on the Impact of Utterance Ordering on Crowdsourced Emotion Annotations (2019) (16)
Human perception of synthetic character emotions in the presence of conflicting and congruent vocal and facial expressions (2008) (16)
Leveraging inter-rater agreement for audio-visual emotion recognition (2015) (16)
UMEME: University of Michigan Emotional McGurk Effect Data Set (2015) (16)
Analyzing the Nature of ECA Interactions in Children with Autism (2011) (16)
Jointly Aligning and Predicting Continuous Emotion Annotations (2019) (16)
Predicting Emotion Perception Across Domains: A Study of Singing and Speaking (2015) (15)
Evaluating evaluators: a case study in understanding the benefits and pitfalls of multi-evaluator modeling (2009) (14)
Exploiting Acoustic and Lexical Properties of Phonemes to Recognize Valence from Speech (2019) (14)
The Ambiguous World of Emotion Representation (2019) (14)
Controlling for Confounders in Multimodal Emotion Classification via Adversarial Learning (2019) (13)
Improving End-of-Turn Detection in Spoken Dialogues by Detecting Speaker Intentions as a Secondary Task (2018) (13)
An acoustic analysis of shared enjoyment in ECA interactions of children with autism (2012) (13)
Simplifying emotion classification through emotion distillation (2012) (13)
Automatic recognition of self-reported and perceived emotion: does joint modeling help? (2016) (13)
A cluster-profile representation of emotion using agglomerative hierarchical clustering (2010) (10)
Identifying Mood Episodes Using Dialogue Features from Clinical Interviews (2019) (10)
Joint-processing of audio-visual signals in human perception of conflicting synthetic character emotions (2008) (10)
Data selection for acoustic emotion recognition: Analyzing and comparing utterance and sub-utterance selection strategies (2015) (9)
f-Similarity Preservation Loss for Soft Labels: A Demonstration on Cross-Corpus Speech Emotion Recognition (2019) (8)
Trainable Time Warping: Aligning Time-series in the Continuous-time Domain (2019) (8)
Wild wild emotion: a multimodal ensemble approach (2016) (8)
Using emotional noise to uncloud audio-visual emotion perceptual evaluation (2013) (8)
Read speech voice quality and disfluency in individuals with recent suicidal ideation or suicide attempt (2021) (7)
When to Intervene: Detecting Abnormal Mood using Everyday Smartphone Conversations (2019) (7)
Aphasic Speech Recognition using a Mixture of Speech Intelligibility Experts (2020) (6)
Classification of Manifest Huntington Disease using Vowel Distortion Measures (2020) (6)
Best Practices for Noise-Based Augmentation to Improve the Performance of Emotion Recognition "In the Wild" (2021) (5)
Automatic recognition of self-reported and perceived emotions (2019) (5)
Understanding speech and swallowing difficulties in individuals with Huntington disease: Validation of the HDQLIFE Speech Difficulties and Swallowing Difficulties Item Banks (2020) (4)
Robust representations for out-of-domain emotions using Emotion Profiles (2010) (4)
EmoShapelets: Capturing local dynamics of audio-visual affective speech (2015) (4)
Selection of Emotionally Salient Audio-Visual Features for Modeling Human Evaluations of Synthetic Character Emotion Displays (2008) (4)
Dynamic Layer Customization for Noise Robust Speech Emotion Recognition in Heterogeneous Condition Training (2020) (3)
Analyzing the structure of parent-moderated narratives from children with ASD using an entity-based approach (2013) (3)
T14 Digital Phenotyping In Bipolar Disorder (2017) (3)
Automatically Detecting Errors and Disfluencies in Read Speech to Predict Cognitive Impairment in People with Parkinson's Disease (2021) (3)
COGID: A SPEECH RECOGNITION TOOL FOR EARLY DETECTION OF ALZHEIMER'S DISEASE (2018) (2)
Recognition of Physiological Data for a Motivational Agent (2011) (2)
Experiences with Shared Resources for Research and Education in Speech and Language Processing (2016) (1)
Accounting for Variations in Speech Emotion Recognition with Nonparametric Hierarchical Neural Network (2021) (0)
Enabling Off-the-Shelf Disfluency Detection and Categorization for Pathological Speech (2022) (0)
T 3 : Computational Models for Audiovisual Emotion Perception (0)
Mood AnalysisPRIORI AppPatient Upload Server Clinicians GPU Cluster Speech All Phone Recordings Extracted Features Mood Predictions Clinical Interviews Mood Ratings ( For Training ) Intervention ? (0)
Articulatory Coordination for Speech Motor Tracking in Huntington Disease (2021) (0)
Human-Imitating Metrics for Training and Evaluating Privacy Preserving Emotion Recognition Models Using Sociolinguistic Knowledge (2021) (0)
Mind the gap: On the value of silence representations to lexical-based speech emotion recognition (2022) (0)
Learning of units and knowledge representation (2013) (0)
Reports of the AAAI 2010 Spring Symposia (2010) (0)
Towards Noise Robust Speech Emotion Recognition Using Dynamic Layer Customization (2021) (0)
Why Should I Trust a Model is Private? Using Shifts in Model Explanation for Evaluating Privacy-Preserving Emotion Recognition Model (2021) (0)
The Effects of the Implementation of the Sarbanes-Oxley Act on Audit Quality: An Examination of Financial Restatements (2016) (0)
Understanding the Impact of COVID-19 on Online Mental Health Forums (2021) (0)
F137. Detecting Emotion From Passively Recorded Speech Segments (2019) (0)

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What Schools Are Affiliated With Emily Mower Provost?

Emily Mower Provost is affiliated with the following schools:

University of Michigan

Emily Mower Provost's Academic­Influence.com Rankings

Why Is Emily Mower Provost Influential?

Emily Mower Provost's Published Works

Published Works

Other Resources About Emily Mower Provost

What Schools Are Affiliated With Emily Mower Provost?

Emily Mower Provost's AcademicInfluence.com Rankings