Detection of major depressive disorder using vocal acoustic analysis and machine learning—an exploratory study

CW Espinola, JC Gomes, JMS Pereira… - Research on Biomedical …, 2021 - Springer
Purpose Diagnosis and treatment in psychiatry are still highly dependent on reports from
patients and on clinician judgment. This fact makes them prone to memory and subjectivity …

Detection of major depressive disorder, bipolar disorder, schizophrenia and generalized anxiety disorder using vocal acoustic analysis and machine learning: an …

C Wanderley Espinola, JC Gomes… - Research on Biomedical …, 2022 - Springer
Purpose Current diagnosis and treatment in psychiatry are heavily dependent on patients'
reports and clinician's judgment, thus are sensitive to memory and subjectivity biases. On …

Vocal acoustic analysis and machine learning for the identification of schizophrenia

CW Espinola, JC Gomes, JMS Pereira… - Research on Biomedical …, 2021 - Springer
Purpose Psychiatry still needs objective biomarkers. In the context of schizophrenia, there
are speech abnormalities such as tangentiality, derailment, alogia, neologisms, poverty of …

Exploring the ability of vocal biomarkers in distinguishing depression from bipolar disorder, schizophrenia, and healthy controls

W Pan, F Deng, X Wang, B Hang, W Zhou… - Frontiers in …, 2023 - frontiersin.org
Background Vocal features have been exploited to distinguish depression from healthy
controls. While there have been some claims for success, the degree to which changes in …

Differentiation between depression and bipolar disorder in child and adolescents by voice features

J Luo, Y Wu, M Liu, Z Li, Z Wang, Y Zheng… - Child and Adolescent …, 2024 - Springer
Objective Major depressive disorder (MDD) and bipolar disorder (BD) are serious chronic
disabling mental and emotional disorders, with symptoms that often manifest atypically in …

Detection of major depressive disorder based on a combination of voice features: an exploratory approach

M Higuchi, M Nakamura, S Shinohara, Y Omiya… - International journal of …, 2022 - mdpi.com
In general, it is common knowledge that people's feelings are reflected in their voice and
facial expressions. This research work focuses on developing techniques for diagnosing …

Detection of major depressive disorder using vocal acoustic analysis and machine learning

CW Espinola, JC Gomes, JMS Pereira, WP dos Santos - medRxiv, 2020 - medrxiv.org
Purpose Diagnosis and treatment in psychiatry are still highly dependent on reports from
patients and on clinician judgement. This fact makes them prone to memory and subjectivity …

Discrimination of bipolar disorders using voice

M Higuchi, M Nakamura, S Shinohara, Y Omiya… - … Paradigms for Mental …, 2019 - Springer
Several methods have been developed for screening mentally impaired patients using
biomarkers, but these methods are invasive and costly. Self-administered tests are also …

The Sound of the Mind: Detection of Common Mental Disorders Using Vocal Acoustic Analysis and Machine Learning

CW Espinola, JC Gomes, JMS Pereira… - Swarm …, 2022 - taylorfrancis.com
Psychiatric diagnosises are is heavily prone to subjectivity bias from patients and clinicians.
In the last few years there has been a growing effort in the development of objective markers …

Apparatus for estimating mental/neurological disease

S Tokuno, S Shinohara, M Nakamura… - US Patent …, 2024 - Google Patents
A medical apparatus for estimating a mental/neurological disease with high precision is
provided. This medical apparatus includes a computational processing device, a recording …