Toward a More Informative Voice Range Profile: The Role of Laryngeal Vibratory Mechanisms on Vowels Dynamic Range

Lamesch, Sylvain; Doval, Boris; Castellengo, Michèle

doi:10.1016/j.jvoice.2012.01.005

Cited by 16 publications

(14 citation statements)

References 24 publications

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“…When rippling is seen in the upper VRP contour that can be associated with harmonic selection by resonance, such rippling is generally less pronounced in M2 than it is in M1. This unresponsiveness in M2 could be associated with the finding that in M2 the VRP shape is unaffected by the vowel 17 . Curiously, harmonic-formant tuning seems to be more prevalent in the untrained singers, that is, those who would not first-hand be considered the tuning experts.…”

Section: Discussion Of Resonance and Splmentioning

confidence: 90%

Feature Maps of the Acoustic Spectrum of the Voice

Pabon

Ternström

2020

Journal of Voice

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The change in the spectrum of sustained /a/ vowels was mapped over the voice range from low to high fundamental frequency and low to high sound pressure level (SPL), in the form of the so-called voice range profile (VRP). In each interval of one semitone and one decibel, narrowband spectra were averaged both within and across subjects. The subjects were groups of 7 male and 12 female singing students, as well as a group of 16 untrained female voices. For each individual and also for each group, pairs of VRP recordings were made, with stringent separation of the modal/chest and falsetto/head registers. Maps are presented of eight scalar metrics, each of which was chosen to quantify a particular feature of the voice spectrum, over fundamental frequency and SPL. Metrics 1 and 2 chart the role of the fundamental in relation to the rest of the spectrum. Metrics 3 and 4 are used to explore the role of resonances in relation to SPL. Metrics 5 and 6 address the distribution of high frequency energy, while metrics 7 and 8 seek to describe the distribution of energy at the low end of the voice spectrum. Several examples are observed of phenomena that are difficult to predict from linear source-filter theory, and of the voice source being less uniform over the voice range than is conventionally assumed. These include a high-frequency band-limiting at high SPL and an unexpected persistence of the second harmonic at low SPL. The two voice registers give rise to clearly different maps. Only a few effects of training were observed, in the low frequency end below 2 kHz. The results are of potential interest in voice analysis, voice synthesis and for new insights into the voice production mechanism. Keywords: Voice Range Profile (VRP)−Voice Register−Level of the fundamental−Harmonic-formant interaction−Spectrum balance (SB)−Spectrum slope−Non-linear source-filter interaction.

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Section: Discussion Of Resonance and Splmentioning

confidence: 90%

Feature Maps of the Acoustic Spectrum of the Voice

Pabon

Ternström

2020

Journal of Voice

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“…The VRP testing method employed in this study was derived from the evaluation method of human voice range or tessitura . The patient was guided by the graph activity and tried to produce as much range as possible under each condition.…”

Section: Discussionmentioning

confidence: 99%

“…Furthermore, a voice range profile (VRP) phonetogram (KayPENTAX, Lincoln Park, NJ) was used to measure the playable volume and pitch range. The VRP computer program was originally developed to measure the range of the human voice . When a sound with a specific frequency and intensity is sensed for a minimum of 80 ms, a cell representing the frequency and intensity is filled on a graph, in which the x‐axis represents pitch, and the y‐axis represents volume.…”

Section: Clinical Reportmentioning

confidence: 99%

Sound Analysis of a Musical Performance to Evaluate Prosthodontic Treatment for a Clarinet Player

Hattori

Sumita

Taniguchi

2014

Journal of Prosthodontics

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Some dental patients use the orofacial region to play wind instruments; however, musical performance has not been objectively evaluated following prosthodontic treatment in such patients. The purpose of this report was to describe prosthodontic treatment for a clarinet player using sound analysis. The patient required a removable partial denture for his maxillary anterior teeth. Sound analysis was performed before and after denture adjustment, and the patient completed a questionnaire regarding his perceptions while playing his clarinet. After adjustment, the denture showed better performance, and patient satisfaction increased compared with that before adjustment.

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“…Identifying the f o and SPL Overlap Range From the VRP In order to compare groups using the VRP voice maps, the overlapping ranges comparison method, first proposed by Lamesch et al (2012), was used since it allows direct comparison between maps at any given frequency and intensity (Lã & Ternström, 2020;Lamesch et al, 2012;Ternström et al, 2020) and of the VRP contours (Pabon et al, 2011). Since there is little or no overlap between the ranges of connected speech in children and adults, only the VRP task was used for the overlap comparisons across the groups.…”

Section: Identifying the Representative Habitual Range In The Srpmentioning

confidence: 99%

Quantitative and Qualitative Electroglottographic Wave Shape Differences in Children and Adults Using Voice Map–Based Analysis

Patel

Ternström

2021

J Speech Lang Hear Res

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Purpose The purpose of this study is to identify the extent to which various measurements of contacting parameters differ between children and adults during habitual range and overlap vocal frequency/intensity, using voice map–based assessment of noninvasive electroglottography (EGG). Method EGG voice maps were analyzed from 26 adults (22–45 years) and 22 children (4–8 years) during connected speech and vowel /a/ over the habitual range and the overlap vocal frequency/intensity from the voice range profile task on the vowel /a/. Mean and standard deviations of contact quotient by integration, normalized contacting speed, quotient of speed by integration, and cycle-rate sample entropy were obtained. Group differences were evaluated using the linear mixed model analysis for the habitual range connected speech and the vowel, whereas analysis of covariance was conducted for the overlap vocal frequency/intensity from the voice range profile task. Presence of a “knee” on the EGG wave shape was determined by visual inspection of the presence of convexity along the decontacting slope of the EGG pulse and the presence of the second derivative zero-crossing. Results The contact quotient by integration, normalized contacting speed, quotient of speed by integration, and cycle-rate sample entropy were significantly different in children compared to (a) adult males for habitual range and (b) adult males and adult females for the overlap vocal frequency/intensity. None of the children had a “knee” on the decontacting slope of the EGG slope. Conclusion EGG parameters of contact quotient by integration, normalized contacting speed, quotient of speed by integration, cycle-rate sample entropy, and absence of a “knee” on the decontacting slope characterize the wave shape differences between children and adults, whereas the normalized contacting speed, quotient of speed by integration, cycle-rate sample entropy, and presence of a “knee” on the downward pulse slope characterize the wave shape differences between adult males and adult females. Supplemental Material https://doi.org/10.23641/asha.15057345

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Toward a More Informative Voice Range Profile: The Role of Laryngeal Vibratory Mechanisms on Vowels Dynamic Range

Cited by 16 publications

References 24 publications

Feature Maps of the Acoustic Spectrum of the Voice

Feature Maps of the Acoustic Spectrum of the Voice

Sound Analysis of a Musical Performance to Evaluate Prosthodontic Treatment for a Clarinet Player

Quantitative and Qualitative Electroglottographic Wave Shape Differences in Children and Adults Using Voice Map–Based Analysis

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