Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Cognitive Development During Adolescence01:18

Cognitive Development During Adolescence

414
During adolescence, individuals experience significant cognitive development that enhances their understanding of others' emotions and thoughts, known as cognitive empathy. This period is marked by an increased ability to adapt to others' perspectives and a more nuanced understanding of others' mental states, a skill that is foundational for social problem-solving and conflict avoidance. The development of cognitive empathy relies heavily on the theory of mind — the...
414
Signs of Puberty01:27

Signs of Puberty

1.2K
Puberty is a critical phase, typically beginning between the ages of 8 and 13 in girls and 9 and 14 in boys, though timing can vary based on genetics, environmental factors, and overall health. This period is characterized by the development of secondary sexual characteristics and the attainment of reproductive potential. Endocrine changes underpin puberty, with hormonal surges of Luteinizing Hormone (LH) and Follicle-Stimulating Hormone (FSH) instigated by Gonadotropin-Releasing Hormone (GnRH)...
1.2K
Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

314
Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
314
Auditory Perception01:17

Auditory Perception

931
The auditory system is essential for sound perception, utilizing various critical structures. When sound waves enter the outer ear, they travel through the ear canal and cause the eardrum to vibrate. These vibrations are then transmitted to the middle ear, where three tiny bones – the malleus, incus, and stapes – amplify the sound. This amplification is crucial, as it ensures that the sound vibrations are strong enough to be conveyed to the inner ear. These vibrations then reach the...
931
Assessment of Airway, Skin Color, and Use of Accessory Muscles01:30

Assessment of Airway, Skin Color, and Use of Accessory Muscles

1.5K
A thorough assessment of respiratory health is paramount in clinical settings to identify and manage respiratory distress and ensure adequate oxygenation. This article elaborates on the critical aspects of respiratory evaluation, including airway assessment, skin color examination, and the observation of accessory muscle use, which are integral to effectively diagnosing and managing patients with respiratory conditions.
Introduction
The initial evaluation of a patient's respiratory system...
1.5K
Determination of Expected Frequency01:08

Determination of Expected Frequency

2.5K
Suppose one wants to test independence between the two variables of a contingency table. The values in the table constitute the observed frequencies of the dataset. But how does one determine the expected frequency of the dataset? One of the important assumptions is that the two variables are independent, which means the variables do not influence each other. For independent variables, the statistical probability of any event involving both variables is calculated by multiplying the individual...
2.5K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Machine-learning-based cardiovascular mortality prediction using a cumulative PM<sub>2.5</sub> exposure metric in high risk groups: a retrospective cohort study.

Scientific reports·2026
Same author

Detecting cardiovascular diseases using ECG scans and explainable artificial intelligence.

Computer methods and programs in biomedicine·2026
Same author

A multimodal data acquisition and registration system for monitoring skin wounds: Wound modeling and accuracy estimation using phantoms.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026
Same author

Cognitive and clinical associations with lesion load and EEG microstate alterations in multiple sclerosis.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026
Same author

Objective Dynamic Assessment of Facial Movement Asymmetry in Children Using a Marker-Based Video Method.

Journal of clinical medicine·2026
Same author

Volumetric MRI Markers of Cognitive Impairment in Relapsing-Remitting Multiple Sclerosis: Cerebellar White Matter Loss, Pallidum Atrophy, and Choroid Plexus Enlargement.

Brain sciences·2026
Same journal

Data-scarce transfer learning fusion for positron emission tomography and computed tomography guided lung biopsy.

Biomedizinische Technik. Biomedical engineering·2026
Same journal

DeepKneeXR: YOLOv8 multi-label X-rays detection of knee abnormalities from sports injury with clinical explainability.

Biomedizinische Technik. Biomedical engineering·2026
Same journal

Multimodal artificial intelligence for predicting postoperative cesarean scar diverticulum risk.

Biomedizinische Technik. Biomedical engineering·2026
Same journal

Spinal x-ray based scoliosis diagnosis using deep learning: a comparison of YOLOv11 and ResNet.

Biomedizinische Technik. Biomedical engineering·2026
Same journal

Transvaginal ultrasound-based radiomics and integrated clinical indicators via multimodal deep learning for prediction of endometrial polyp recurrence after hysteroscopic surgery.

Biomedizinische Technik. Biomedical engineering·2026
Same journal

Computed tomography imaging and observation of hemorrhage in traumatic splenic rupture pre and post partial splenectomy.

Biomedizinische Technik. Biomedical engineering·2026
See all related articles

Related Experiment Video

Updated: Dec 31, 2025

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
05:48

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

Published on: August 9, 2024

1.9K

Adolescent age estimation using voice features.

Marcin D Bugdol1, Monika N Bugdol1, Maria J Bieńkowska1

  • 1Faculty of Biomedical Engineering, Department of Informatics and Medical Equipment, Silesian University of Technology, Roosevelta 40, 44-800Zabrze, Poland.

Biomedizinische Technik. Biomedical Engineering
|January 15, 2020
PubMed
Summary
This summary is machine-generated.

This study presents a voice analysis method for estimating adolescent chronological age. The approach accurately predicts age in boys using voice parameters and height, offering a novel tool for developmental tracking.

Keywords:
age estimationrandom forestvoice analysis

More Related Videos

Asthma Detection Research Based on Voice Signal Processing and Machine Learning
04:04

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

826
Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
09:09

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Published on: September 27, 2024

752

Related Experiment Videos

Last Updated: Dec 31, 2025

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
05:48

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

Published on: August 9, 2024

1.9K
Asthma Detection Research Based on Voice Signal Processing and Machine Learning
04:04

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

826
Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
09:09

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Published on: September 27, 2024

752

Area of Science:

  • Biomedical Engineering
  • Acoustic Analysis
  • Developmental Biology

Background:

  • Accurate age estimation in adolescents is crucial for monitoring developmental stages and ensuring appropriate interventions.
  • Traditional methods for age assessment can be invasive or rely on subjective evaluations.
  • Voice characteristics change significantly during puberty, offering a potential non-invasive biomarker for chronological age.

Purpose of the Study:

  • To develop and validate a method for estimating chronological age in adolescents using voice signal analysis.
  • To investigate the utility of combining voice parameters with physical measurements (height) for improved age prediction accuracy.
  • To compare the performance of the proposed method between male and female adolescents.

Main Methods:

  • Vowel phonations (a, e, i, o, u) were recorded from adolescent participants.
  • Sixty voice parameters were extracted from each recording.
  • The least absolute shrinkage and selection operator (LASSO) algorithm was used for feature selection, followed by random forest (RF) regression for age estimation, validated with 10-fold cross-validation.

Main Results:

  • The lowest absolute error in age estimation was 0.37 years (±0.28) for boys when all selected features were utilized.
  • The model demonstrated higher accuracy for boys compared to girls, attributed to more pronounced voice changes in males during adolescence.
  • The inclusion of height measurement did not significantly improve accuracy when all selected voice features were used.

Conclusions:

  • The developed voice analysis method provides an accurate and non-invasive approach for estimating chronological age in adolescents.
  • The findings highlight the potential of using voice biomarkers for developmental monitoring, particularly during the rapid changes of puberty.
  • Further research could explore refining the method for improved accuracy in both sexes and across different developmental stages.