Adolescent age estimation using voice features
-
Marcin D. Bugdol
,
Monika N. Bugdol
,
Maria J. Bieńkowska
Abstract
In this paper, a method for evaluating the chronological age of adolescents on the basis of their voice signal is presented. For every examined child, the vowels a, e, i, o and u were recorded in extended phonation. Sixty voice parameters were extracted from each recording. Voice recordings were supplemented with height measurement in order to check if it could improve the accuracy of the proposed solution. Predictor selection was performed using the LASSO (least absolute shrinkage and selection operator) algorithm. For age estimation, the random forest (RF) for regression method was employed and it was tested using a 10-fold cross-validation. The lowest absolute error (0.37 year ± 0.28) was obtained for boys only when all selected features were included into prediction. In all cases, the achieved accuracy was higher for boys than for girls, which results from the fact that the change of voice with age is larger for men than for women. The achieved results suggest that the presented approach can be employed for accurate age estimation during rapid development in children.
Acknowledgement
We would like to thank Bruce Turner for the English language corrections.
Author Statement
Research funding: Authors state no funding involved.
Conflict of interest: Authors declare no conflict of interest.
Informed consent: Informed consent is not applicable.
Ethical approval: The conducted research is not related to either human or animal use.
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©2020 Walter de Gruyter GmbH, Berlin/Boston
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Artikel in diesem Heft
- Frontmatter
- Research articles
- Evaluation of potential auras in generalized epilepsy from EEG signals using deep convolutional neural networks and time-frequency representation
- Matching pursuit algorithm for enhancing EEG signal quality and increasing the accuracy and efficiency of emotion recognition
- Properties of different types of dry electrodes for wearable smart monitoring devices
- Dual-frequency bioelectrical phase angle to estimate the platelet count for the prognosis of dengue fever in Indian children
- Adolescent age estimation using voice features
- A comprehensive evaluation for the prediction of mortality in intensive care units with LSTM networks: patients with cardiovascular disease
- A Matlab toolbox for analyzing repetitive movements: application in gait and tapping experiments
- Electrical stimulator with mechanomyography-based real-time monitoring, muscle fatigue detection, and safety shut-off: a pilot study
- Objectivization of vacuum-compression therapy effects on micro- and macrovascular perfusion in type 2 diabetic patients
- Optimisation of the drill-in behaviour of the EcoFit® SC threaded cup
- Realisation and assessment of a low-cost LED device for contact lens disinfection by visible violet light
- Developing a novel resorptive hydroxyapatite-based bone substitute for over-critical size defect reconstruction: physicochemical and biological characterization and proof of concept in segmental rabbit’s ulna reconstruction
