Search Results - "Mower, Emily"

Cross-Corpus Acoustic Emotion Recognition with Multi-Task Learning: Seeking Common Ground While Preserving Differences by Zhang, Biqiao, Provost, Emily Mower, Essl, Georg

“…There is growing interest in emotion recognition due to its potential in many applications. However, a pervasive challenge is the presence of data variability…”
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Improving Cross-Corpus Speech Emotion Recognition with Adversarial Discriminative Domain Generalization (ADDoG) by Gideon, John, McInnis, Melvin G, Provost, Emily Mower

“…Automatic speech emotion recognition provides computers with critical context to enable user understanding. While methods trained and tested within the same…”
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MSP-IMPROV: An Acted Corpus of Dyadic Interactions to Study Emotion Perception by Busso, Carlos, Parthasarathy, Srinivas, Burmania, Alec, AbdelWahab, Mohammed, Sadoughi, Najmeh, Provost, Emily Mower

“…We present the MSP-IMPROV corpus, a multimodal emotional database, where the goal is to have control over lexical content and emotion while also promoting…”
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ISLA: Temporal Segmentation and Labeling for Audio-Visual Emotion Recognition by Kim, Yelin, Provost, Emily Mower

“…Emotion is an essential part of human interaction. Automatic emotion recognition can greatly benefit human-centered interactive technology, since extracted…”
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You're Not You When You're Angry: Robust Emotion Features Emerge by Recognizing Speakers by Aldeneh, Zakaria, Provost, Emily Mower

“…The robustness of an acoustic emotion recognition system hinges on first having access to features that represent an acoustic input signal. These…”
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Deep learning for robust feature generation in audiovisual emotion recognition by Yelin Kim, Honglak Lee, Provost, Emily Mower

“…Automatic emotion recognition systems predict high-level affective content from low-level human-centered signal cues. These systems have seen great…”
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Emotion recognition using a hierarchical binary decision tree approach by Lee, Chi-Chun, Mower, Emily, Busso, Carlos, Lee, Sungbok, Narayanan, Shrikanth

“…► We propose a hierarchical structure for multiclass emotion recognition tasks. ► The structure is designed to first operate on the most differentiable binary…”
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A Framework for Automatic Human Emotion Classification Using Emotion Profiles by Mower, E, Matarić, Maja J, Narayanan, S

“…Automatic recognition of emotion is becoming an increasingly important component in the design process for affect-sensitive human-machine interaction (HMI)…”
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An Engineering View on Emotions and Speech: From Analysis and Predictive Models to Responsible Human-Centered Applications by Lee, Chi-Chun, Chaspari, Theodora, Provost, Emily Mower, Narayanan, Shrikanth S.

“…The substantial growth of Internet-of-Things technology and the ubiquity of smartphone devices has increased the public and industry focus on speech emotion…”
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Jointly Aligning and Predicting Continuous Emotion Annotations by Khorram, Soheil, McInnis, Melvin G, Provost, Emily Mower

“…Time-continuous dimensional descriptions of emotions (e.g., arousal, valence) allow researchers to characterize short-time changes and to capture long-term…”
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Automatic quantitative analysis of spontaneous aphasic speech by Le, Duc, Licata, Keli, Mower Provost, Emily

“…Spontaneous speech analysis plays an important role in the study and treatment of aphasia, but can be difficult to perform manually due to the time consuming…”
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Guest Editorial Best of ACII 2021 by Soleymani, Mohammad, Kumano, Shiro, Provost, Emily Mower, Bianchi-Berthouze, Nadia, Sano, Akane, Suzuki, Kenji

“…The 9TH AAAC Conference on Affective Computing and Intelligent Interaction 2021 was held in a virtual format in the fall of 2021. It was technically…”
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Low-back electromyography (EMG) data-driven load classification for dynamic lifting tasks by Totah, Deema, Ojeda, Lauro, Johnson, Daniel D, Gates, Deanna, Mower Provost, Emily, Barton, Kira

“…Numerous devices have been designed to support the back during lifting tasks. To improve the utility of such devices, this research explores the use of…”
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IEMOCAP: interactive emotional dyadic motion capture database by Busso, Carlos, Bulut, Murtaza, Lee, Chi-Chun, Kazemzadeh, Abe, Mower, Emily, Kim, Samuel, Chang, Jeannette N., Lee, Sungbok, Narayanan, Shrikanth S.

“…Since emotions are expressed through a combination of verbal and non-verbal channels, a joint analysis of speech and gestures is required to understand…”
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Daily Levels and Dynamic Metrics of Affective–Cognitive Constructs Associate With Suicidal Thoughts and Behaviours in Adults After Psychiatric Hospitalization by Wallace, Gemma T., Brick, Leslie A., Provost, Emily Mower, Peters, Jessica R., Miller, Ivan W., Schatten, Heather T.

“…ABSTRACT The period after psychiatric hospitalization is an extraordinarily high‐risk period for suicidal thoughts and behaviours (STBs). Affective–cognitive…”
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Cross-corpus acoustic emotion recognition from singing and speaking: A multi-task learning approach by Biqiao Zhang, Provost, Emily Mower, Essl, Georg

“…Emotion is expressed over both speech and song. Previous works have found that although spoken and sung emotion recognition are different tasks, they are…”
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Automatic Assessment of Speech Intelligibility for Individuals With Aphasia by Le, Duc, Licata, Keli, Persad, Carol, Provost, Emily Mower

“…Traditional in-person therapy may be difficult to access for individuals with aphasia due to the shortage of speech-language pathologists and high treatment…”
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UMEME: University of Michigan Emotional McGurk Effect Data Set by Provost, Emily Mower, Shangguan, Yuan, Busso, Carlos

“…Emotion is central to communication; it colors our interpretation of events and social interactions. Emotion expression is generally multimodal, modulating our…”
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Cohort Profile: The Heinz C. Prechter Longitudinal Study of Bipolar Disorder by McInnis, Melvin G, Assari, Shervin, Kamali, Masoud, Ryan, Kelly, Langenecker, Scott A, Saunders, Erika F H, Versha, Kritika, Evans, Simon, O'Shea, K Sue, Mower Provost, Emily, Marshall, David, Forger, Daniel, Deldin, Patricia, Zoellner, Sebastian

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Trainable Time Warping: Aligning Time-series in the Continuous-time Domain by Khorram, Soheil, McInnis, Melvin G, Mower Provost, Emily

“…DTW calculates the similarity or alignment between two signals, subject to temporal warping. However, its computational complexity grows exponentially with the…”
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