AIMC Topic: Voice

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Non-invasive acoustic classification of adult asthma using an XGBoost model with vocal biomarkers.

Scientific reports Aug 6, 2025
Traditional diagnostic methods for asthma, a widespread chronic respiratory illness, are often limited by factors such as patient cooperation with spirometry. Non-invasive acoustic analysis using machine learning offers a promising alternative for ob...
Female Young Adult Adult Humans Machine Learning Biomarkers Case-Control Studies Acoustics Voice Asthma Boosting Machine Learning Algorithms Male Middle Aged
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Data Collection for Automatic Depression Identification in Spanish Speakers Using Deep Learning Algorithms: Protocol for a Case-Control Study.

JMIR research protocols Jul 31, 2025
BACKGROUND: Depression is a mental health condition that affects millions of people worldwide. Although common, it remains difficult to diagnose due to its heterogeneous symptomatology. Mental health questionnaires are currently the most used assessm...
Case-Control Studies Deep Learning Depression Female Spain Humans Adult Voice Neural Networks, Computer Male Smartphone Algorithms Data Collection
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Voice fatigue subtyping through individual modeling of vocal demand reponses.

Scientific reports Jul 16, 2025
Recognizing individual variability is essential for developing targeted, personalized medical interventions. Vocal fatigue is a prevalent symptom and complaint among occupational voice users, but its identification has yielded mixed results. Vocal fa...
Adult Male Speech Middle Aged Voice Voice Disorders Voice Quality Humans Female Young Adult
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Prediction of suicide using web based voice recordings analyzed by artificial intelligence.

Scientific reports Jul 4, 2025
The integration of machine learning (ML) and deep learning models in suicide risk assessment has advanced significantly in recent years. In this study, we utilized ML in a case-control design, we predicted completed suicides using publicly available,...
Suicide Internet Voice Adult Male Middle Aged Deep Learning Speech Risk Assessment Case-Control Studies Machine Learning Female Humans Young Adult Artificial Intelligence
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LSTM autoencoder based parallel architecture for deepfake audio detection with dynamic residual encoding and feature fusion.

Scientific reports Jul 2, 2025
With the rapid advancement of synthetic speech technologies, detecting deepfake audio has become essential for preventing impersonation and misinformation. This study aims to enhance detection performance by addressing limitations in existing models,...
Humans Neural Networks, Computer Speech Voice Algorithms Deep Learning Autoencoder
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Depression detection methods based on multimodal fusion of voice and text.

Scientific reports Jul 1, 2025
Depression is a prevalent mental health disorder, and early detection is crucial for timely intervention. Traditional diagnostics often rely on subjective judgments, leading to variability and inefficiency. This study proposes a fusion model for auto...
Voice Female Deep Learning Depression Humans
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Utility of artificial intelligence-based conversation voice analysis for detecting cognitive decline.

PloS one Jun 2, 2025
Recent developments in artificial intelligence (AI) have introduced new technologies that can aid in detecting cognitive decline. This study developed a voice-based AI model that screens for cognitive decline using only a short conversational voice s...
Voice Middle Aged Humans Deep Learning Cognitive Dysfunction Female Aged Aged, 80 and over Male Neural Networks, Computer Artificial Intelligence Machine Learning
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Exploring voice as a digital phenotype in adults with ADHD.

Scientific reports May 24, 2025
Current diagnostic procedures for attention deficit hyperactivity disorder (ADHD) are mainly subjective and prone to bias. While research on potential biomarkers, including EEG, brain imaging, and genetics is promising, it has yet to demonstrate clin...
Female Young Adult Adult Case-Control Studies Speech Male Middle Aged Humans Phenotype Voice Attention Deficit Disorder with Hyperactivity
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Vocal performance evaluation of the intelligent note recognition method based on deep learning.

Scientific reports Apr 22, 2025
This study aims to optimize the ability of note recognition and improve the accuracy of vocal performance evaluation. Firstly, the basic theory of music is analyzed. Secondly, the convolutional neural network (CNN) in deep learning (DL) is selected t...
Voice Music Humans Neural Networks, Computer Deep Learning
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Voice biomarkers as prognostic indicators for Parkinson's disease using machine learning techniques.

Scientific reports Apr 9, 2025
Many people suffer from Parkinson's disease globally, a complicated neurological condition caused by the deficiency of dopamine, an organic chemical responsible for regulating movement in individuals. Patients with Parkinson face muscle stiffness or ...
Principal Component Analysis Voice Middle Aged Support Vector Machine Parkinson Disease Machine Learning Biomarkers Prognosis Female Aged Male Humans
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