7 citations · 7 across the 4 of their papers we have counts for
6 papers
When to Intervene: Detecting Abnormal Mood using Everyday Smartphone Conversations
John Gideon, Katie Matton, Steve Anderau +2
Bipolar disorder (BPD) is a chronic mental illness characterized by extreme mood and energy changes from mania to depression. These changes drive behaviors that often lead to devas…
Jointly Aligning and Predicting Continuous Emotion Annotations
Soheil Khorram, Melvin G McInnis, Emily Mower Provost
Time-continuous dimensional descriptions of emotions (e.g., arousal, valence) allow researchers to characterize short-time changes and to capture long-term trends in emotion expres…
Trainable Time Warping: Aligning Time-Series in the Continuous-Time Domain
Soheil Khorram, Melvin G McInnis, Emily Mower Provost
DTW calculates the similarity or alignment between two signals, subject to temporal warping. However, its computational complexity grows exponentially with the number of time-serie…
Improving Cross-Corpus Speech Emotion Recognition with Adversarial Discriminative Domain Generalization (ADDoG)
John Gideon, Melvin G McInnis, Emily Mower Provost
Automatic speech emotion recognition provides computers with critical context to enable user understanding. While methods trained and tested within the same dataset have been shown…
The PRIORI Emotion Dataset: Linking Mood to Emotion Detected In-the-Wild
Soheil Khorram, Mimansa Jaiswal, John Gideon +2
Bipolar Disorder is a chronic psychiatric illness characterized by pathological mood swings associated with severe disruptions in emotion regulation. Clinical monitoring of mood is…
Capturing Long-term Temporal Dependencies with Convolutional Networks for Continuous Emotion Recognition
Soheil Khorram, Zakaria Aldeneh, Dimitrios Dimitriadis +2
The goal of continuous emotion recognition is to assign an emotion value to every frame in a sequence of acoustic features. We show that incorporating long-term temporal dependenci…