Summary
Objective
Acoustic parameters of voice were studied in music majors throughout 18 months of
training to understand the influence of voice training on voice.
Methods
Twenty-three students from Xiamen Music School between 12 and 15 years old were enrolled.
Acoustic examination was performed three times– every 6 months for 18 months. Various
traditional acoustic parameters were measured, including dysphonia severity index
(DSI), jitter, and D-value of vocal range. Nonlinear dynamic measures were also measured,
including diffusive chaos to construct voice type component profiles (VTCPs), spectrum
convergence ratio, and nonlinear energy difference ratio. The results were analyzed
by multivariate analysis of variance.
Results
Over the study duration, there was an improvement of DSI (P = 0.002), and D-value of vocal range (P = 0.000). Among nonlinear parameters, only voice type component data demonstrated
significant changes during the study duration. Both Voice Type Component 1(VTC1) and
VTC3 values differed from Time 1 to Time 2 as well as from Time 1 to Time 3. The proportion
of VTC1 in samples generally decreased, while VTC3, representative of aperiodicity,
increased. Both nonlinear energy difference ratio and spectrum convergence ratio exhibited
no significant changes throughout the study.
Conclusion
Professional voice training can improve DSI and D-value of vocal range in singers’
voices. These parameters have potential to be used for voice training evaluation and
screening. Many nonlinear parameters did not detect differences in the healthy voices
studied, but VTCPs created using intrinsic dimension present a valuable new method,
visualizing increases in aperiodicity of the speaking voices after professional voice
training.
Key Words
To read this article in full you will need to make a payment
Purchase one-time access:
Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online accessOne-time access price info
- For academic or personal research use, select 'Academic and Personal'
- For corporate R&D use, select 'Corporate R&D Professionals'
Subscribe:
Subscribe to Journal of VoiceAlready a print subscriber? Claim online access
Already an online subscriber? Sign in
Register: Create an account
Institutional Access: Sign in to ScienceDirect
References
- Effects of singing training on the speaking voice of voice majors.J Voice. 2004; 18: 83-89https://doi.org/10.1016/j.jvoice.2003.07.006
- Respiratory training in voice therapy.J Voice. 1988; 2: 20-25https://doi.org/10.1016/S0892-1997(88)80053-5
- Voice frequency change in singers and nonsingers.J Voice. 1987; 1: 234-239https://doi.org/10.1016/S0892-1997(87)80005-X
- The concept of muscular isometrics for optimizing vocal intensity and efficiency.J Res Singing. 1979; 14: 15-25
- Objective evaluation of artistic voice of singing based on BPNN.in: International Conference on Genetic & Evolutionary Computing. 2010: 834-836https://doi.org/10.1109/WGEC.2009.19
- A basic protocol for functional assessment of voice pathology, especially for investigating the efficacy of (phonosurgical) treatments and evaluating new assessment techniques. Guideline elaborated by the Committee on Phoniatrics of the European Laryngological Society (ELS).Eur Arch Otorhinolaryngol. 2001; 258: 77-82https://doi.org/10.1007/s004050000299
- An objective parameter for quantifying the turbulent noise portion of voice signals.J Voice. 2016; 30: 664-669https://doi.org/10.1016/j.jvoice.2015.08.017
- An objective parameter to classify voice signals based on variation in energy distribution.J Voice. 2019; 33: 591-602https://doi.org/10.1016/j.jvoice.2018.02.011
J.I. Tower, L. Acton, J. Wolf, et al., Effects of vocal training on students' voices in a professional drama school, OTO Open, 3 (2019) 2473974x19866384. doi:10.1177/2473974x19866384
- The dysphonia severity index: an objective measure of vocal quality based on a multiparameter approach.J Speech Lang Hear Res. 2000; 43: 796-809https://doi.org/10.1044/jslhr.4303.796
- Correlation among the dysphonia severity index (DSI), the RBH voice perceptual evaluation, and minimum glottal area in female patients with vocal fold nodules.J Voice. 2014; 28: 20-23https://doi.org/10.1016/j.jvoice.2013.08.002
- Acoustic changes in student actors' voices after 12 months of training.J Voice. 2008; 22: 300-313https://doi.org/10.1016/j.jvoice.2006.10.006
- Have women's voices lowered across time? A cross sectional study of Australian women's voices.J Voice. 1998; 12: 208-213https://doi.org/10.1016/s0892-1997(98)80040-4
- Updating signal typing in voice: addition of type 4 signals.J Acoust Soc Am. 2010; 127: 3710-3716https://doi.org/10.1121/1.3397477
- Quantification of voice type components present in human phonation using a modified diffusive chaos technique.Ann Otol Rhinol Laryngol. 2019; 128: 921-931https://doi.org/10.1016/j.jvoice.2018.02.011
- Acoustic analyses of sustained and running voices from patients with laryngeal pathologies.J Voice. 2006; 22: 1-9https://doi.org/10.1016/j.jvoice.2006.08.003
- Chaotic component obscured by strong periodicity in voice production system.Phys Rev E Stat Nonlin Soft Matter Phys. 2008; 77061922https://doi.org/10.1103/PhysRevE.77.061922
- Age-and sex-related variations in vocal-tract morphology and voice acoustics during adolescence.Horm Behav. 2016; 81: 84-96https://doi.org/10.1016/j.yhbeh.2016.03.001
- The clinical features of functional dysphonia.Laryngoscope. 2010; 111: 458-463https://doi.org/10.1097/00005537-200103000-00015
- The dysphonia severity index: an objective measure of vocal quality based on a multiparameter approach.J Speech Lang Hear Res JSLHR. 2000; 43: 796-809https://doi.org/10.1044/jslhr.4303.796
- An examination of intrasubject variability on the dysphonia severity index.J Voice. 2012; 26 (814.e821-814.e825)https://doi.org/10.1016/j.jvoice.2012.04.004
- Voice quality change in future professional voice users after 9 months of voice training.Eur Arch Oto Rhino Laryngol Head Neck. 2004; 261: 1-5https://doi.org/10.1007/s00405-003-0652-5
- Analysis and evaluation of a voice-training program in future professional voice users.J Voice. 2005; 19: 202-210https://doi.org/10.1016/j.jvoice.2004.04.009
- A comparison of trained and untrained vocalists on the dysphonia severity index.J Voice. 2010; 24: 661-666https://doi.org/10.1016/j.jvoice.2009.04.001
- Comparing the nonlinear dynamic acoustic parameters of healthy adult and pediatric voices, annals of otology.Rhinol Laryngol. 2018; 127: 937-945https://doi.org/10.1177/0003489418803394
- The impact of vocal and laryngeal pathologies among professional singers: a meta-analysis.J Voice. 2019; 33: 58-65https://doi.org/10.1016/j.jvoice.2017.09.002
- Changes in glottal contact quotient during resonance tube phonation and phonation with vibrato.J Voice. 2013; 27: 305-311https://doi.org/10.1016/j.jvoice.2013.01.017
- Interference between normal vibrato and artificial stimulation of laryngeal muscles at near-vibrato rates.J Voice. 1994; 8: 215-223https://doi.org/10.1016/s0892-1997(05)80292-9
Article info
Publication history
Published online: February 27, 2021
Accepted:
January 13,
2021
Footnotes
Conflict of interest: None.
Identification
Copyright
© 2021 The Voice Foundation. Published by Elsevier Inc. All rights reserved.
