Acoustic markers to differentiate gender in prepubescent children's speaking and singing voice

Guzmán, Marco; Muñoz, Daniel; Vivero, Martín; Marín, Natalia; Ramírez, Mirta; Rivera, María Trinidad; Vidal, Carla Bastos; Gerhard, Julia; González, Catalina Estrada

doi:10.1016/j.ijporl.2014.06.030

Cited by 10 publications

(3 citation statements)

References 54 publications

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“…F0 in normal female children ranges from 268 to 295 Hz. A mean F0 of 247 Hz in children under 12 years of age has also been reported, without significant differences when boys and girls were compared [3].…”

Section: Introductionmentioning

confidence: 86%

Acoustic analysis of voice in children with cleft palate and velopharyngeal insufficiency

Villafuerte-Gonzalez

Valadez-Jiménez

Hernández-López

et al. 2015

International Journal of Pediatric Otorhinolaryngology

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Section: Introductionmentioning

confidence: 86%

Acoustic analysis of voice in children with cleft palate and velopharyngeal insufficiency

Villafuerte-Gonzalez

Valadez-Jiménez

Hernández-López

et al. 2015

International Journal of Pediatric Otorhinolaryngology

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“…The percentile curves of these variables might help visualize the development and give a tool for appraising the singing voice. A comparison with previous findings might be complex, as most previous studies have used the fundamental frequency to depict the frequency of each individual by letting a subject read set texts [31][32][33]. Here, one goes further by describing the minimum frequency as well as the maximum frequency.…”

Section: Discussionmentioning

confidence: 99%

Establishing Normative Data on Singing Voice Parameters of Children and Adolescents with Average Singing Activity Using the Voice Range Profile

Dienerowitz

Peschel

Vogel

et al. 2021

Folia Phoniatr Logop

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Purpose: The purpose of this study was to establish and characterize age- and gender-specific normative data of the singing voice using the voice range profile for clinical diagnostics. Furthermore, associations between the singing voice and the socioeconomic status were examined. Methods: Singing voice profiles of 1,578 mostly untrained children aged between 7.0 and 16.11 years were analyzed. Participants had to reproduce sung tones at defined pitches, resulting in maximum and minimum fundamental frequency and sound pressure level (SPL). In addition, maximum phonation time (MPT) was measured. Percentile curves of frequency, SPL and MPT were estimated. To examine the associations of socioeconomic status, multivariate analyses adjusted for age and sex were performed. Results: In boys, the mean of the highest frequency was 750.9 Hz and lowered to 397.1 Hz with increasing age. Similarly, the minimum frequency was 194.4 Hz and lowered to 91.9 Hz. In girls, the mean maximum frequency decreased from 754.9 to 725.3 Hz. The mean minimum frequency lowered from 202.4 to 175.0 Hz. For both sexes, the mean frequency range ∆f showed a constant range of roughly 24 semitones. The MPT increased with age, for boys and girls. There was neither an effect of age nor sex on SPLmin or SPLmax, ranging between 52.6 and 54.1 dBA and between 86.5 and 82.8 dBA, respectively. Socioeconomic status was not associated with the above-mentioned variables. Conclusion: To our knowledge, this study is the first to present large normative data on the singing voice in childhood and adolescence based on a high number of measurements. In addition, we provide percentile curves for practical application in clinic and vocal pedagogy which may be applied to distinguish between normal and pathological singing voice.

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“…Identifying gender is more challenging for children as the sex differences in vocal tract structure are not present in children and don't appear until puberty [67]. Some of the studies that dwell upon children's voices for gender detection are [68] [69] [70] [71].…”

Section: A Personal Attributes Inferencementioning

confidence: 99%

A Comprehensive Study of Audio Profiling: Methods, Applications, Challenges, and Future Directions

Pudasaini,

Al-Hawawreh,

Bouadjenek

et al. 2024

Preprint

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Audio profiling is at the forefront of a technological breakthrough, offering rich insights into human behavior, emotions, physical attributes, and environmental contexts through detailed analysis of voice data. As we embrace an era where the integration of smart technologies equipped with the ability to capture sound is becoming omnipresent, the capacity to accurately infer personal traits such as age, gender, height, weight, emotional state, personality, and even environmental contexts through voice analysis opens up vast opportunities across law enforcement, healthcare, social and commercial services, and entertainment. This emerging field promises to enhance our interaction with technology by not only understanding who we are but also by interpreting the world around us. However, the exciting landscape is fraught with challenges, including data imbalances, the complexity of predictive models, and significant privacy concerns regarding handling sensitive paralinguistic information. This survey explores deep into the current landscape of audio profiling, examining the techniques and datasets in use, and showcasing its diverse applications while highlighting the need for advanced methodologies, enriched dataset development, and robust privacy preservation techniques.

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Acoustic markers to differentiate gender in prepubescent children's speaking and singing voice

Cited by 10 publications

References 54 publications

Acoustic analysis of voice in children with cleft palate and velopharyngeal insufficiency

Acoustic analysis of voice in children with cleft palate and velopharyngeal insufficiency

Establishing Normative Data on Singing Voice Parameters of Children and Adolescents with Average Singing Activity Using the Voice Range Profile

A Comprehensive Study of Audio Profiling: Methods, Applications, Challenges, and Future Directions

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