Combining categorical and primitives-based emotion recognition. - Michael Grimm; Emily Mower Provost; Kristian Kroschel; Shrikanth S. Narayanan (EUSIPCO, 2006)

Investigating Implicit Cues for User State Estimation in Human-Robot Interaction Using Physiological Measurements. - Emily Mower; David Feil-Seifer; Maja J. Mataric; Shrikanth S. Narayanan (RO-MAN, 2007)

Primitives-based evaluation and estimation of emotions in speech. - Michael Grimm; Kristian Kroschel; Emily Mower; Shrikanth S. Narayanan (Speech Commun., 2007)

Human perception of synthetic character emotions in the presence of conflicting and congruent vocal and facial expressions. - Emily Mower; Sungbok Lee; Maja J. Mataric; Shrikanth S. Narayanan (ICASSP, 2008)

Joint-processing of audio-visual signals in human perception of conflicting synthetic character emotions. - Emily Mower; Sungbok Lee; Maja J. Mataric; Shrikanth S. Narayanan (ICME, 2008)

Selection of Emotionally Salient Audio-Visual Features for Modeling Human Evaluations of Synthetic Character Emotion Displays. - Emily Mower; Maja J. Mataric; Shrikanth S. Narayanan (ISM, 2008)

IEMOCAP: interactive emotional dyadic motion capture database. - Carlos Busso; Murtaza Bulut; Chi-Chun Lee; Abe Kazemzadeh; Emily Mower; Samuel Kim; Jeannette N. Chang; Sungbok Lee; Shrikanth S. Narayanan (Lang. Resour. Evaluation, 2008)

Interpreting ambiguous emotional expressions. - Emily Mower; Angeliki Metallinou; Chi-Chun Lee; Abe Kazemzadeh; Carlos Busso; Sungbok Lee; Shrikanth S. Narayanan (ACII, 2009)

Evaluating evaluators: a case study in understanding the benefits and pitfalls of multi-evaluator modeling. - Emily Mower; Maja J. Mataric; Shrikanth S. Narayanan (INTERSPEECH, 2009)

Human Perception of Audio-Visual Synthetic Character Emotion Expression in the Presence of Ambiguous and Conflicting Information. - Emily Mower; Maja J. Mataric; Shrikanth S. Narayanan (IEEE Trans. Multim., 2009)

Speech emotion estimation in 3D space. - Dongrui Wu; Thomas D. Parsons; Emily Mower; Shrikanth S. Narayanan (ICME, 2010)

A cluster-profile representation of emotion using agglomerative hierarchical clustering. - Emily Mower; Kyu Jeong Han; Sungbok Lee; Shrikanth S. Narayanan (INTERSPEECH, 2010)

Robust representations for out-of-domain emotions using Emotion Profiles. - Emily Mower; Maja J. Mataric; Shrikanth S. Narayanan (SLT, 2010)

Reports of the AAAI 2010 Spring Symposia. - Thomas Barkowsky; Sven Bertel; Frank Broz; Vinay K. Chaudhri; Nathan Eagle; Michael R. Genesereth; Harry Halpin; Emily Hamner; Gabe Hoffmann; Christoph Hölscher; Eric Horvitz; Tom Lauwers; et al. (AI Mag., 2010)

Recognition of Physiological Data for a Motivational Agent. - Amin Atrash; Emily Mower; Khawaja Shams; Maja J. Mataric (AAAI Spring Symposium: Computational Physiology, 2011)

A hierarchical static-dynamic framework for emotion classification. - Emily Mower; Shrikanth S. Narayanan (ICASSP, 2011)

Rachel: Design of an emotionally targeted interactive agent for children with autism. - Emily Mower; Matthew P. Black; Elisa Flores; Marian E. Williams; Shrikanth S. Narayanan (ICME, 2011)

Analyzing the Nature of ECA Interactions in Children with Autism. - Emily Mower; Chi-Chun Lee; James Gibson; Theodora Chaspari; Marian E. Williams; Shrikanth S. Narayanan (INTERSPEECH, 2011)

Emotion recognition using a hierarchical binary decision tree approach. - Chi-Chun Lee; Emily Mower; Carlos Busso; Sungbok Lee; Shrikanth S. Narayanan (Speech Commun., 2011)

A Framework for Automatic Human Emotion Classification Using Emotion Profiles. - Emily Mower; Maja J. Mataric; Shrikanth S. Narayanan (IEEE Trans. Speech Audio Process., 2011)

Simplifying emotion classification through emotion distillation. - Emily Mower Provost; Shrikanth S. Narayanan (APSIPA, 2012)

An acoustic analysis of shared enjoyment in ECA interactions of children with autism. - Theodora Chaspari; Emily Mower Provost; Athanasios Katsamanis; Shrikanth S. Narayanan (ICASSP, 2012)

Emotion recognition from spontaneous speech using Hidden Markov models with deep belief networks. - Duc Le; Emily Mower Provost (ASRU, 2013)

Deep learning for robust feature generation in audiovisual emotion recognition. - Yelin Kim; Honglak Lee; Emily Mower Provost (ICASSP, 2013)

Emotion classification via utterance-level dynamics: A pattern-based approach to characterizing affective expressions. - Yelin Kim; Emily Mower Provost (ICASSP, 2013)

Identifying salient sub-utterance emotion dynamics using flexible units and estimates of affective flow. - Emily Mower Provost (ICASSP, 2013)

Using emotional noise to uncloud audio-visual emotion perceptual evaluation. - Emily Mower Provost; Irene Zhu; Shrikanth S. Narayanan (ICME, 2013)

Analyzing the structure of parent-moderated narratives from children with ASD using an entity-based approach. - Theodora Chaspari; Emily Mower Provost; Shrikanth S. Narayanan (INTERSPEECH, 2013)

Ecologically valid long-term mood monitoring of individuals with bipolar disorder using speech. - Zahi N. Karam; Emily Mower Provost; Satinder Singh 001; Jennifer Montgomery; Christopher Archer; Gloria Harrington; Melvin G. McInnis (ICASSP, 2014)

Automatic analysis of speech quality for aphasia treatment. - Duc Le; Keli Licata; Elizabeth Mercado; Carol Persad; Emily Mower Provost (ICASSP, 2014)

Modeling pronunciation, rhythm, and intonation for automatic assessment of speech quality in aphasia rehabilitation. - Duc Le; Emily Mower Provost (INTERSPEECH, 2014)

Say Cheese vs. Smile: Reducing Speech-Related Variability for Facial Emotion Recognition. - Yelin Kim; Emily Mower Provost (ACM Multimedia, 2014)

Predicting Emotion Perception Across Domains: A Study of Singing and Speaking. - Biqiao Zhang; Emily Mower Provost; Robert Swedberg; Georg Essl (AAAI, 2015)

Leveraging inter-rater agreement for audio-visual emotion recognition. - Yelin Kim; Emily Mower Provost (ACII, 2015)

Data selection for acoustic emotion recognition: Analyzing and comparing utterance and sub-utterance selection strategies. - Duc Le; Emily Mower Provost (ACII, 2015)

EmoShapelets: Capturing local dynamics of audio-visual affective speech. - Yuan Shangguan; Emily Mower Provost (ACII, 2015)

Recognizing emotion from singing and speaking using shared models. - Biqiao Zhang; Georg Essl; Emily Mower Provost (ACII, 2015)

Modeling transition patterns between events for temporal human action segmentation and classification. - Yelin Kim; Jixu Chen; Ming-Ching Chang; Xin Wang 045; Emily Mower Provost; Siwei Lyu (FG, 2015)

UMEME: University of Michigan Emotional McGurk Effect Data Set. - Emily Mower Provost; Yuan Shangguan; Carlos Busso (IEEE Trans. Affect. Comput., 2015)

Emotion Recognition During Speech Using Dynamics of Multiple Regions of the Face. - Yelin Kim; Emily Mower Provost (ACM Trans. Multim. Comput. Commun. Appl., 2015)

Mood state prediction from speech of varying acoustic quality for individuals with bipolar disorder. - John Gideon; Emily Mower Provost; Melvin G. McInnis (ICASSP, 2016)

Cross-corpus acoustic emotion recognition from singing and speaking: A multi-task learning approach. - Biqiao Zhang; Emily Mower Provost; Georg Essl (ICASSP, 2016)

Wild wild emotion: a multimodal ensemble approach. - John Gideon; Biqiao Zhang; Zakaria Aldeneh; Yelin Kim; Soheil Khorram; Duc Le; Emily Mower Provost (ICMI, 2016)

Emotion spotting: discovering regions of evidence in audio-visual emotion expressions. - Yelin Kim; Emily Mower Provost (ICMI, 2016)

Automatic recognition of self-reported and perceived emotion: does joint modeling help? - Biqiao Zhang; Georg Essl; Emily Mower Provost (ICMI, 2016)

Experiences with Shared Resources for Research and Education in Speech and Language Processing. - Rebecca Bates 001; Eric Fosler-Lussier; Florian Metze; Martha A. Larson; Gina-Anne Levow; Emily Mower Provost (INTERSPEECH, 2016)

Recognition of Depression in Bipolar Disorder: Leveraging Cohort and Person-Specific Knowledge. - Soheil Khorram; John Gideon; Melvin G. McInnis; Emily Mower Provost (INTERSPEECH, 2016)

Improving Automatic Recognition of Aphasic Speech with AphasiaBank. - Duc Le; Emily Mower Provost (INTERSPEECH, 2016)

Automatic Assessment of Speech Intelligibility for Individuals With Aphasia. - Duc Le; Keli Licata; Carol Persad; Emily Mower Provost (IEEE ACM Trans. Audio Speech Lang. Process., 2016)

Using regional saliency for speech emotion recognition. - Zakaria Aldeneh; Emily Mower Provost (ICASSP, 2017)

Pooling acoustic and lexical features for the prediction of valence. - Zakaria Aldeneh; Soheil Khorram; Dimitrios Dimitriadis; Emily Mower Provost (ICMI, 2017)

Predicting the distribution of emotion perception: capturing inter-rater variability. - Biqiao Zhang; Georg Essl; Emily Mower Provost (ICMI, 2017)

Progressive Neural Networks for Transfer Learning in Emotion Recognition. - John Gideon; Soheil Khorram; Zakaria Aldeneh; Dimitrios Dimitriadis; Emily Mower Provost (INTERSPEECH, 2017)

Capturing Long-Term Temporal Dependencies with Convolutional Networks for Continuous Emotion Recognition. - Soheil Khorram; Zakaria Aldeneh; Dimitrios Dimitriadis; Melvin G. McInnis; Emily Mower Provost (INTERSPEECH, 2017)

Discretized Continuous Speech Emotion Recognition with Multi-Task Deep Recurrent Neural Network. - Duc Le; Zakaria Aldeneh; Emily Mower Provost (INTERSPEECH, 2017)

Automatic Paraphasia Detection from Aphasic Speech: A Preliminary Study. - Duc Le; Keli Licata; Emily Mower Provost (INTERSPEECH, 2017)

MSP-IMPROV: An Acted Corpus of Dyadic Interactions to Study Emotion Perception. - Carlos Busso; Srinivas Parthasarathy; Alec Burmania; Mohammed Abdel-Wahab 001; Najmeh Sadoughi; Emily Mower Provost (IEEE Trans. Affect. Comput., 2017)

Improving End-of-Turn Detection in Spoken Dialogues by Detecting Speaker Intentions as a Secondary Task. - Zakaria Aldeneh; Dimitrios Dimitriadis; Emily Mower Provost (ICASSP, 2018)

The PRIORI Emotion Dataset: Linking Mood to Emotion Detected In-the-Wild. - Soheil Khorram; Mimansa Jaiswal; John Gideon; Melvin G. McInnis; Emily Mower Provost (INTERSPEECH, 2018)

Classification of Huntington Disease Using Acoustic and Lexical Features. - Matthew Perez; Wenyu Jin 001; Duc Le; Noelle Carlozzi; Praveen Dayalu; Angela Roberts 001; Emily Mower Provost (INTERSPEECH, 2018)

Automatic quantitative analysis of spontaneous aphasic speech. - Duc Le; Keli Licata; Emily Mower Provost (Speech Commun., 2018)

f-Similarity Preservation Loss for Soft Labels: A Demonstration on Cross-Corpus Speech Emotion Recognition. - Biqiao Zhang; Yuqing Kong; Georg Essl; Emily Mower Provost (AAAI, 2019)

Muse-ing on the Impact of Utterance Ordering on Crowdsourced Emotion Annotations. - Mimansa Jaiswal; Zakaria Aldeneh; Cristian-Paul Bara; Yuanhang Luo; Mihai Burzo; Rada Mihalcea; Emily Mower Provost (ICASSP, 2019)

Trainable Time Warping: Aligning Time-series in the Continuous-time Domain. - Soheil Khorram; Melvin G. McInnis; Emily Mower Provost (ICASSP, 2019)

Exploiting Acoustic and Lexical Properties of Phonemes to Recognize Valence from Speech. - Biqiao Zhang; Soheil Khorram; Emily Mower Provost (ICASSP, 2019)

Controlling for Confounders in Multimodal Emotion Classification via Adversarial Learning. - Mimansa Jaiswal; Zakaria Aldeneh; Emily Mower Provost (ICMI, 2019)

Identifying Mood Episodes Using Dialogue Features from Clinical Interviews. - Zakaria Aldeneh; Mimansa Jaiswal; Michael Picheny; Melvin G. McInnis; Emily Mower Provost (INTERSPEECH, 2019)

Emotion Recognition from Natural Phone Conversations in Individuals with and without Recent Suicidal Ideation. - John Gideon; Heather T. Schatten; Melvin G. McInnis; Emily Mower Provost (INTERSPEECH, 2019)

Into the Wild: Transitioning from Recognizing Mood in Clinical Interactions to Personal Conversations for Individuals with Bipolar Disorder. - Katie Matton; Melvin G. McInnis; Emily Mower Provost (INTERSPEECH, 2019)

Barking up the Right Tree: Improving Cross-Corpus Speech Emotion Recognition with Adversarial Discriminative Domain Generalization (ADDoG). - John Gideon; Melvin G. McInnis; Emily Mower Provost (CoRR, 2019)

The Ambiguous World of Emotion Representation. - Vidhyasaharan Sethu; Emily Mower Provost; Julien Epps; Carlos Busso; Nicholas Cummins; Shrikanth S. Narayanan (CoRR, 2019)

When to Intervene: Detecting Abnormal Mood using Everyday Smartphone Conversations. - John Gideon; Katie Matton; Steve Anderau; Melvin G. McInnis; Emily Mower Provost (CoRR, 2019)

ISLA: Temporal Segmentation and Labeling for Audio-Visual Emotion Recognition. - Yelin Kim; Emily Mower Provost (IEEE Trans. Affect. Comput., 2019)

Cross-Corpus Acoustic Emotion Recognition with Multi-Task Learning: Seeking Common Ground While Preserving Differences. - Biqiao Zhang; Emily Mower Provost; Georg Essl (IEEE Trans. Affect. Comput., 2019)

Privacy Enhanced Multimodal Neural Representations for Emotion Recognition. - Mimansa Jaiswal; Emily Mower Provost (AAAI, 2020)

Quantifying the Effects of COVID-19 on Mental Health Support Forums. - Laura Biester; Katie Matton; Janarthanan Rajendran; Emily Mower Provost; Rada Mihalcea (NLP4COVID@EMNLP, 2020)

Aphasic Speech Recognition Using a Mixture of Speech Intelligibility Experts. - Matthew Perez; Zakaria Aldeneh; Emily Mower Provost (INTERSPEECH, 2020)

Classification of Manifest Huntington Disease Using Vowel Distortion Measures. - Amrit Romana; John Bandon; Noelle Carlozzi; Angela Roberts 001; Emily Mower Provost (INTERSPEECH, 2020)

MuSE: a Multimodal Dataset of Stressed Emotion. - Mimansa Jaiswal; Cristian-Paul Bara; Yuanhang Luo; Mihai Burzo; Rada Mihalcea; Emily Mower Provost (LREC, 2020)

Dynamic Layer Customization for Noise Robust Speech Emotion Recognition in Heterogeneous Condition Training. - Alex Wilf; Emily Mower Provost (CoRR, 2020)

Towards Noise Robust Speech Emotion Recognition Using Dynamic Layer Customization. - Alex Wilf; Emily Mower Provost (ACII, 2021)

Articulatory Coordination for Speech Motor Tracking in Huntington Disease. - Matthew Perez; Amrit Romana; Angela Roberts 001; Noelle Carlozzi; Jennifer Ann Miner; Praveen Dayalu; Emily Mower Provost (Interspeech, 2021)

Automatically Detecting Errors and Disfluencies in Read Speech to Predict Cognitive Impairment in People with Parkinson's Disease. - Amrit Romana; John Bandon; Matthew Perez; Stephanie Gutierrez; Richard Richter; Angela Roberts 001; Emily Mower Provost (Interspeech, 2021)

Learning Paralinguistic Features from Audiobooks through Style Voice Conversion. - Zakaria Aldeneh; Matthew Perez; Emily Mower Provost (NAACL-HLT, 2021)

Why Should I Trust a Model is Private? Using Shifts in Model Explanation for Evaluating Privacy-Preserving Emotion Recognition Model. - Mimansa Jaiswal; Emily Mower Provost (CoRR, 2021)

Best Practices for Noise-Based Augmentation to Improve the Performance of Emotion Recognition "In the Wild". - Mimansa Jaiswal; Emily Mower Provost (CoRR, 2021)

Accounting for Variations in Speech Emotion Recognition with Nonparametric Hierarchical Neural Network. - Lance Ying; Amrit Romana; Emily Mower Provost (CoRR, 2021)

Read speech voice quality and disfluency in individuals with recent suicidal ideation or suicide attempt. - Brian Stasak; Julien Epps; Heather T. Schatten; Ivan W. Miller; Emily Mower Provost; Michael F. Armey (Speech Commun., 2021)

Improving Cross-Corpus Speech Emotion Recognition with Adversarial Discriminative Domain Generalization (ADDoG). - John Gideon; Melvin G. McInnis; Emily Mower Provost (IEEE Trans. Affect. Comput., 2021)

Jointly Aligning and Predicting Continuous Emotion Annotations. - Soheil Khorram; Melvin G. McInnis; Emily Mower Provost (IEEE Trans. Affect. Comput., 2021)

Understanding the Impact of COVID-19 on Online Mental Health Forums. - Laura Biester; Katie Matton; Janarthanan Rajendran; Emily Mower Provost; Rada Mihalcea (ACM Trans. Manag. Inf. Syst., 2021)

Mind the gap: On the value of silence representations to lexical-based speech emotion recognition. - Matthew Perez; Mimansa Jaiswal; Minxue Niu; Cristina Gorrostieta; Matthew Roddy; Kye Taylor; Reza Lotfian; John Kane; Emily Mower Provost (INTERSPEECH, 2022)

Enabling Off-the-Shelf Disfluency Detection and Categorization for Pathological Speech. - Amrit Romana; Minxue Niu; Matthew Perez; Angela Roberts 001; Emily Mower Provost (INTERSPEECH, 2022)

Capturing Mismatch between Textual and Acoustic Emotion Expressions for Mood Identification in Bipolar Disorder. - Minxue Niu; Amrit Romana; Mimansa Jaiswal; Melvin G. McInnis; Emily Mower Provost (INTERSPEECH, 2023)

Episodic Memory For Domain-Adaptable, Robust Speech Emotion Recognition. - James Tavernor; Matthew Perez; Emily Mower Provost (INTERSPEECH, 2023)

Seq2seq for Automatic Paraphasia Detection in Aphasic Speech. - Matthew Perez; Duc Le; Amrit Romana; Elise Jones; Keli Licata; Emily Mower Provost (CoRR, 2023)

You're Not You When You're Angry: Robust Emotion Features Emerge by Recognizing Speakers. - Zakaria Aldeneh; Emily Mower Provost (IEEE Trans. Affect. Comput., 2023)

Demand Learning and Pricing for Varying Assortments. - Kris Johnson Ferreira; Emily Mower (Manuf. Serv. Oper. Manag., 2023)

An Engineering View on Emotions and Speech: From Analysis and Predictive Models to Responsible Human-Centered Applications. - Chi-Chun Lee; Theodora Chaspari; Emily Mower Provost; Shrikanth S. Narayanan (Proc. IEEE, 2023)

From Text to Emotion: Unveiling the Emotion Annotation Capabilities of LLMs. - Minxue Niu; Mimansa Jaiswal; Emily Mower Provost (INTERSPEECH, 2024)

Beyond Binary: Multiclass Paraphasia Detection with Generative Pretrained Transformers and End-to-End Models. - Matthew Perez; Aneesha Sampath; Minxue Niu; Emily Mower Provost (INTERSPEECH, 2024)

The Whole Is Bigger Than the Sum of Its Parts: Modeling Individual Annotators to Capture Emotional Variability. - James Tavernor; Yara El-Tawil; Emily Mower Provost (INTERSPEECH, 2024)

Why Antiwork: A RoBERTa-Based System for Work-Related Stress Identification and Leading Factor Analysis. - Tao Lu; Muzhe Wu; Xinyi Lu; Siyuan Xu; Shuyu Zhan; Anuj Tambwekar; Emily Mower Provost (CoRR, 2024)

Rethinking Emotion Annotations in the Era of Large Language Models. - Minxue Niu; Yara El-Tawil; Amrit Romana; Emily Mower Provost (CoRR, 2024)

Guest Editorial Best of ACII 2021. - Mohammad Soleymani 001; Shiro Kumano; Emily Mower Provost; Nadia Bianchi-Berthouze; Akane Sano; Kenji Suzuki 002 (IEEE Trans. Affect. Comput., 2024)

Automatic Disfluency Detection From Untranscribed Speech. - Amrit Romana; Kazuhito Koishida; Emily Mower Provost (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Efficient Finetuning for Dimensional Speech Emotion Recognition in the Age of Transformers. - Aneesha Sampath; James Tavernor; Emily Mower Provost (ICASSP, 2025)

Emotion Recognition in the Real World: Passively Collecting and Estimating Emotions From Natural Speech Data of Individuals With Bipolar Disorder. - Emily Mower Provost; Sarah H. Sperry; James Tavernor; Steve Anderau; Anastasia Yocum; Melvin G. McInnis (IEEE Trans. Affect. Comput., 2025)

Contrastive Distillation of Emotion Knowledge from LLMs for Zero-Shot Emotion Recognition. - Minxue Niu; Emily Mower Provost (CoRR, 2025)