A review of detection techniques for depression and bipolar disorder
D Highland, G Zhou - Smart Health, 2022 - Elsevier
Depression and bipolar disorder are mood disorders affecting millions of people worldwide
that can have severe impacts on one's quality of life. Our ability to detect these illnesses is …
that can have severe impacts on one's quality of life. Our ability to detect these illnesses is …
An engineering view on emotions and speech: From analysis and predictive models to responsible human-centered applications
The substantial growth of Internet-of-Things technology and the ubiquity of smartphone
devices has increased the public and industry focus on speech emotion recognition (SER) …
devices has increased the public and industry focus on speech emotion recognition (SER) …
AVEC 2018 workshop and challenge: Bipolar disorder and cross-cultural affect recognition
The Audio/Visual Emotion Challenge and Workshop (AVEC 2018)" Bipolar disorder, and
cross-cultural affect recognition''is the eighth competition event aimed at the comparison of …
cross-cultural affect recognition''is the eighth competition event aimed at the comparison of …
Improving cross-corpus speech emotion recognition with adversarial discriminative domain generalization (ADDoG)
J Gideon, MG McInnis… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Automatic speech emotion recognition provides computers with critical context to enable
user understanding. While methods trained and tested within the same dataset have been …
user understanding. While methods trained and tested within the same dataset have been …
Detecting unipolar and bipolar depressive disorders from elicited speech responses using latent affective structure model
Mood disorders, including unipolar depression (UD) and bipolar disorder (BD)[1], are
reported to be one of the most common mental illnesses in recent years. In diagnostic …
reported to be one of the most common mental illnesses in recent years. In diagnostic …
The priori emotion dataset: Linking mood to emotion detected in-the-wild
Bipolar Disorder is a chronic psychiatric illness characterized by pathological mood swings
associated with severe disruptions in emotion regulation. Clinical monitoring of mood is key …
associated with severe disruptions in emotion regulation. Clinical monitoring of mood is key …
A multi-modal stacked ensemble model for bipolar disorder classification
N AbaeiKoupaei, H Al Osman - IEEE Transactions on Affective …, 2020 - ieeexplore.ieee.org
We propose an automatic ternary classification model for Bipolar Disorder (BD) states. As
input information, the model uses speech signals from patients' audio-visual recordings of …
input information, the model uses speech signals from patients' audio-visual recordings of …
Automatic speech-based longitudinal emotion and mood recognition for mental health treatment
(57) ABSTRACT A method of predicting a mood state of a user may include recording an
audio sample via a microphone of a mobile computing device of the user based on the …
audio sample via a microphone of a mobile computing device of the user based on the …
Into the wild: Transitioning from recognizing mood in clinical interactions to personal conversations for individuals with bipolar disorder
Bipolar Disorder, a mood disorder with recurrent mania and depression, requires ongoing
monitoring and specialty management. Current monitoring strategies are clinically-based …
monitoring and specialty management. Current monitoring strategies are clinically-based …
[HTML][HTML] Speech variability: A cross-language study on acoustic variations of speaking versus untrained singing
JHL Hansen, M Bokshi, S Khorram - The Journal of the Acoustical …, 2020 - pubs.aip.org
Speech production variability introduces significant challenges for existing speech
technologies such as speaker identification (SID), speaker diarization, speech recognition …
technologies such as speaker identification (SID), speaker diarization, speech recognition …