Deep learning for depression recognition with audiovisual cues: A review
With the acceleration of the pace of work and life, people are facing more and more
pressure, which increases the probability of suffering from depression. However, many …
pressure, which increases the probability of suffering from depression. However, many …
A review of depression and suicide risk assessment using speech analysis
This paper is the first review into the automatic analysis of speech for use as an objective
predictor of depression and suicidality. Both conditions are major public health concerns; …
predictor of depression and suicidality. Both conditions are major public health concerns; …
The Geneva minimalistic acoustic parameter set (GeMAPS) for voice research and affective computing
Work on voice sciences over recent decades has led to a proliferation of acoustic
parameters that are used quite selectively and are not always extracted in a similar fashion …
parameters that are used quite selectively and are not always extracted in a similar fashion …
[HTML][HTML] Automated depression analysis using convolutional neural networks from speech
L He, C Cao - Journal of biomedical informatics, 2018 - Elsevier
To help clinicians to efficiently diagnose the severity of a person's depression, the affective
computing community and the artificial intelligence field have shown a growing interest in …
computing community and the artificial intelligence field have shown a growing interest in …
Machine learning and natural language processing in psychotherapy research: Alliance as example use case.
Artificial intelligence generally and machine learning specifically have become deeply
woven into the lives and technologies of modern life. Machine learning is dramatically …
woven into the lives and technologies of modern life. Machine learning is dramatically …
Automatic depression recognition by intelligent speech signal processing: A systematic survey
Depression has become one of the most common mental illnesses in the world. For better
prediction and diagnosis, methods of automatic depression recognition based on speech …
prediction and diagnosis, methods of automatic depression recognition based on speech …
Voice analysis as an objective state marker in bipolar disorder
Abstract Changes in speech have been suggested as sensitive and valid measures of
depression and mania in bipolar disorder. The present study aimed at investigating (1) voice …
depression and mania in bipolar disorder. The present study aimed at investigating (1) voice …
The detection of Parkinson's disease from speech using voice source information
Developing automatic methods to detect Parkinson's disease (PD) from speech has
attracted increasing interest as these techniques can potentially be used in telemonitoring …
attracted increasing interest as these techniques can potentially be used in telemonitoring …
A survey on big data-driven digital phenotyping of mental health
The landscape of mental health has undergone tremendous changes within the last two
decades, but the research on mental health is still at the initial stage with substantial …
decades, but the research on mental health is still at the initial stage with substantial …
Passive and in-situ assessment of mental and physical well-being using mobile sensors
M Rabbi, S Ali, T Choudhury, E Berke - Proceedings of the 13th …, 2011 - dl.acm.org
The idea of continuously monitoring well-being using mobile-sensing systems is gaining
popularity. In-situ measurement of human behavior has the potential to overcome the short …
popularity. In-situ measurement of human behavior has the potential to overcome the short …