AIMC Topic: Voice
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Dysphonic Voice Pattern Analysis of Patients in Parkinson's Disease Using Minimum Interclass Probability Risk Feature Selection and Bagging Ensemble Learning Methods.
Computational and mathematical methods in medicine
May 3, 2017
Analysis of quantified voice patterns is useful in the detection and assessment of dysphonia and related phonation disorders. In this paper, we first study the linear correlations between 22 voice parameters of fundamental frequency variability, ampl...
Data dependent random forest applied to screening for laryngeal disorders through analysis of sustained phonation: acoustic versus contact microphone.
Medical engineering & physics
Jan 22, 2015
Comprehensive evaluation of results obtained using acoustic and contact microphones in screening for laryngeal disorders through analysis of sustained phonation is the main objective of this study. Aiming to obtain a versatile characterization of voi...
Beyond accuracy: The need for explainable AI in biomedical voice technology.
Computers in biology and medicine
Jun 1, 2025
Speech and voice have emerged as valuable non-invasive biomarkers for detecting and monitoring a range of medical conditions, from neurodegenerative and respiratory diseases to psychiatric and emotional disorders. Recent advancements in artificial in...
Differentiability of voice disorders through explainable AI.
Scientific reports
May 25, 2025
The voice can be affected by various types of pathology. The phoniatric medical examination is the acoustic analysis, which evaluates the characteristic parameters extracted from the vocal signal. Computer-assisted decision-making systems can help sp...
fNIRS experimental study on the impact of AI-synthesized familiar voices on brain neural responses.
Scientific reports
May 15, 2025
With the advancement of artificial intelligence (AI) speech synthesis technology, its application in personalized voice services and its potential role in emotional comfort have become research focal points. This study aims to explore the impact of A...
Early detection of mental health disorders using machine learning models using behavioral and voice data analysis.
Scientific reports
May 13, 2025
People of all demographics are impacted by mental illness, which has become a widespread and international health problem. Effective treatment and support for mental illnesses depend on early discovery and precise diagnosis. Notably, delayed diagnosi...
Artificial intelligence voice gender, gender role congruity, and trust in automated vehicles.
Scientific reports
May 11, 2025
Existing research on human-automated vehicle (AV) interactions has largely focused on auditory explanations, with less attention to how voice characteristics shape user trust. This paper explores the influence of gender similarity between users and A...
Deep learning-enhanced anti-noise triboelectric acoustic sensor for human-machine collaboration in noisy environments.
Nature communications
May 8, 2025
Human-machine voice interaction based on speech recognition offers an intuitive, efficient, and user-friendly interface, attracting wide attention in applications such as health monitoring, post-disaster rescue, and intelligent control. However, conv...
[Construction of recognition models for subthreshold depression based on multiple machine learning algorithms and vocal emotional characteristics].
Nan fang yi ke da xue xue bao = Journal of Southern Medical University
Apr 20, 2025
OBJECTIVES: To construct vocal recognition classification models using 6 machine learning algorithms and vocal emotional characteristics of individuals with subthreshold depression to facilitate early identification of subthreshold depression.
A WaveNet-based model for predicting the electroglottographic signal from the acoustic voice signal.
The Journal of the Acoustical Society of America
Apr 1, 2025
The electroglottographic (EGG) signal offers a non-invasive approach to analyze phonation. It is known, if not obvious, that the onset of vocal fold contacting has a substantial effect on how the vocal folds vibrate and on the quality of the voice. G...
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