Literature DB >> 8574302

Differences in phonetogram features between male and female subjects with and without vocal training.

A M Sulter1, H K Schutte, D G Miller.   

Abstract

Singing not only requires good voluntary control over phonation and a musical ear, it also demands certain capacities of the voice source. These capacities include a desirable range of sound intensity and frequency, which can be measured and represented in a phonetogram. The influence of specific factors on voice capacities may be ascertained by the analysis of phonetograms. To determine the influence of the factors gender and voice training, phonetograms of 224 subjects, subdivided accordingly into four groups, were analyzed in two different ways. One is based on the rescaling of phonetograms, whereas the other derives analytic variables from the features' shape, area, and dynamic range. Analysis showed that, regarding gender, male subjects are able to produce softer phonations, whereas female subjects produced louder phonations at specific parts of their comparable frequency ranges. Trained subjects have a larger enclosed area of the phonetogram, which is primarily based on extended soft voice capabilities in both genders and the significantly larger frequency range in trained female subjects. The shape analysis, performed with Fourier Descriptors, revealed differences for the factors gender and training.

Mesh:

Year:  1995        PMID: 8574302     DOI: 10.1016/s0892-1997(05)80198-5

Source DB:  PubMed          Journal:  J Voice        ISSN: 0892-1997            Impact factor:   2.009


  3 in total

1.  Comparison of the produced and perceived voice range profiles in untrained and trained classical singers.

Authors:  Eric J Hunter; Jan G Svec; Ingo R Titze
Journal:  J Voice       Date:  2005-12-01       Impact factor: 2.009

2.  A comparative study of trained and untrained rabindrasangeet singers.

Authors:  Indranil Chatterjee; Suman Kumar; Durba Chattopadhyay
Journal:  Indian J Otolaryngol Head Neck Surg       Date:  2011-12-03

3.  Predicting Achievable Fundamental Frequency Ranges in Vocalization Across Species.

Authors:  Ingo Titze; Tobias Riede; Ted Mau
Journal:  PLoS Comput Biol       Date:  2016-06-16       Impact factor: 4.475

  3 in total

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