Voice Source Differences Between Registers in Female Musical Theater Singers

Björkner, Eva; Sundberg, Johan; Cleveland, Tom; Stone, Ed

doi:10.1016/j.jvoice.2005.01.008

Cited by 33 publications

(35 citation statements)

References 12 publications

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“…Each of these formulas has to do with register transition. In voice classification, register transition has been connected to male and female voice categories [6,7,8,9,10,11,12,13]. However, the specific relationship with voice classification as a determinant parameter is not clear, nor the differences in gender.…”

Section: Discussionmentioning

confidence: 99%

Discrimination of Three Basic Male Voice Types by Voice Range Profile-Derived Parameters

Lycke

Ivanova²,

Hulle³

et al. 2013

Folia Phoniatr Logop

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Aims: To assess whether individual voice range profile parameters or combinations of these are able to yield a clear cluster separation of male voices. Methods: The voice range profiles of 256 male conservatory singing students and professional singers were recorded, parameterized into more compact descriptions (‘features'), and subjected to a cluster analysis. Results: Based on all parameters the frequency dip of the register transition zone was shown to yield the best cluster separation for three basic male voice types. Conclusions: This study demonstrates that parameter combinations of the voice range profile exist that generate a clear separation of voice clusters. This was also the case with female voices as shown in a former study. The clusters may be attributed to the three classic basic male voice types, and in this way our results can provide a fresh angle on the issue of male voice classification.

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Section: Discussionmentioning

confidence: 99%

Discrimination of Three Basic Male Voice Types by Voice Range Profile-Derived Parameters

Lycke

Ivanova²,

Hulle³

et al. 2013

Folia Phoniatr Logop

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“…In this area, especially the studies by Johan Sundberg are important. Analysis of the glottal excitation from singing has addressed, for example, the use of different registers (Björkner et al 2006), loudness control (Sundberg et al 1993;Sundberg et al 1999a;Sundberg et al 2005) and vibrato (Arroabarren & Carlosena 2004;Arroabarren & Carlosena 2006a). As F0 in singing is typically high, singing voices constitute sound material that can be considered highly challenging for GIF analysis.…”

Section: Applications Of Gifmentioning

confidence: 99%

Glottal inverse filtering analysis of human voice production — A review of estimation and parameterization methods of the glottal excitation and their applications

Alku

2011

Sadhana

168

144

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Glottal inverse filtering (GIF) refers to methods of estimating the source of voiced speech, the glottal volume velocity waveform. GIF is based on the idea of inversion, in which the effects of the vocal tract and lip radiation are cancelled from the output of the voice production mechanism, the speech signal. This article provides a review on GIF research by examining an era spanning five decades during which this topic has been under development. The topic is handled from three main perspectives: the estimation methods of the glottal source, the parameterization techniques that have been developed to express the estimated glottal excitations in numerical forms, and the application areas of GIF. Finally, the strengths and limitations of the GIF approach are discussed.

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“…26,27,29,30 Prior isolated investigations of FVFA, LH, TVFM, and vocal registers have used fibreoptic nasendoscopy and videostroboscopy and a range of objective measures such as electroglottography, airflow, and glottal resistance. 28,[31][32][33] However, no research has yet considered the effect of specific manipulations of these three parameters on voice production. To establish the effectiveness of using direct therapy methods to achieve specific manipulation of these three parameters, it is necessary to investigate whether expert clinicians can consistently judge the laryngeal manipulations of speakers and then agree that the speakers are performing the targeted manipulations of FVFA, TVFM, and LH.…”

Section: Introductionmentioning

confidence: 99%

Differentiated Vocal Tract Control and the Reliability of Interpretations of Nasendoscopic Assessment

2010

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Voice Source Differences Between Registers in Female Musical Theater Singers

Cited by 33 publications

References 12 publications

Discrimination of Three Basic Male Voice Types by Voice Range Profile-Derived Parameters

Discrimination of Three Basic Male Voice Types by Voice Range Profile-Derived Parameters

Glottal inverse filtering analysis of human voice production — A review of estimation and parameterization methods of the glottal excitation and their applications

Differentiated Vocal Tract Control and the Reliability of Interpretations of Nasendoscopic Assessment

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