Three Professional Singers’ Vocal Tract Dimensions in Operatic Singing, Kulning, and Edge—A Multiple Case Study Examining Loud Singing

Ikävalko, Tero; Laukkanen, Anne-Maria; McAllister, Anita; Eklund, Robert; Lammentausta, Eveliina; Leppävuori, Mari; Nieminen, Miika T.

doi:10.1016/j.jvoice.2022.01.024

Cited by 7 publications

(2 citation statements)

References 45 publications

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“…The singing formant is the subject of research [21], [22]. It was found that it can be achieved by an appropriate ratio of the VT cross-section in the epiglottis and the piriform sinuses cross-section [23].…”

Section: Energy Maximalization In the Frequency Bandmentioning

confidence: 99%

Design of a Computational Procedure for Optimizing the Acoustic Outputs of the Human Vocal Tract

Štorkán,

Vampola

2023

Preprint

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In order to examine the impact of geometric configuration of the human vocal tract on the redistribution of acoustic energy in the frequency spectrum, it is necessary to assemble computation models, which facilitate simple modification of the model’s geometric characteristics. This article describes how the human vocal tract model was constructed using so-called super-elements using the improved reduced system method. The mentioned procedure allows using such a model for demanding optimization calculations, for which the model is modified on the super-element level. Furthermore, the article presents an alternative approach, in which an isoparametric element of a higher degree polynomial was derived. Both approaches were compared and used to find the geometric configuration of the human vocal tract amplifying acoustic energy values on the frequency spectrum to around 3kHz.

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Section: Energy Maximalization In the Frequency Bandmentioning

confidence: 99%

Design of a Computational Procedure for Optimizing the Acoustic Outputs of the Human Vocal Tract

Štorkán,

Vampola

2023

Preprint

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“…There is increasing interest in extracting quantitative information from 2D midsagittal MR images of the vocal tract 18 – 33 . In particular, there is interest in measuring the size, shape and motion of the vocal tract 18 , 19 , 22 – 32 and articulators such as the soft palate 20 , 33 – 37 . To avoid the burden of manual measurements, methods to (semi-)automatically measure the size and shape of the vocal tract have been developed 38 – 46 and methods to automatically measure the size, shape and motion of the soft palate are beginning to be developed 33 , 47 – 50 .…”

Section: Background and Summarymentioning

confidence: 99%

Real-time speech MRI datasets with corresponding articulator ground-truth segmentations

Ruthven,

Peplinski,

Adams

et al. 2023

Sci Data

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The use of real-time magnetic resonance imaging (rt-MRI) of speech is increasing in clinical practice and speech science research. Analysis of such images often requires segmentation of articulators and the vocal tract, and the community is turning to deep-learning-based methods to perform this segmentation. While there are publicly available rt-MRI datasets of speech, these do not include ground-truth (GT) segmentations, a key requirement for the development of deep-learning-based segmentation methods. To begin to address this barrier, this work presents rt-MRI speech datasets of five healthy adult volunteers with corresponding GT segmentations and velopharyngeal closure patterns. The images were acquired using standard clinical MRI scanners, coils and sequences to facilitate acquisition of similar images in other centres. The datasets include manually created GT segmentations of six anatomical features including the tongue, soft palate and vocal tract. In addition, this work makes code and instructions to implement a current state-of-the-art deep-learning-based method to segment rt-MRI speech datasets publicly available, thus providing the community and others with a starting point for developing such methods.

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Towards Automated Vocal Mode Classification in Healthy Singing Voice—An XGBoost Decision Tree-Based Machine Learning Classifier

Sol,

Aaen,

Sadolin

et al. 2023

Journal of Voice

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Three Professional Singers’ Vocal Tract Dimensions in Operatic Singing, Kulning, and Edge—A Multiple Case Study Examining Loud Singing

Cited by 7 publications

References 45 publications

Design of a Computational Procedure for Optimizing the Acoustic Outputs of the Human Vocal Tract

Design of a Computational Procedure for Optimizing the Acoustic Outputs of the Human Vocal Tract

Real-time speech MRI datasets with corresponding articulator ground-truth segmentations

Towards Automated Vocal Mode Classification in Healthy Singing Voice—An XGBoost Decision Tree-Based Machine Learning Classifier

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