An Old Myth: Prediction of the Correct Singing Voice Classification. True or not?

被引:0
|
作者
Rast, C. [1 ]
Unteregger, F. [1 ]
Honegger, F. [1 ]
Zwicky, S. [2 ]
Storck, C. [1 ,3 ]
机构
[1] Univ Hosp Basel, Dept Otorhinolaryngol Head & Neck Surg, Div Phoniatr, Basel, Switzerland
[2] Zurich Univ Arts, Dept Mus & Private ENT Practice, Schlieren, Switzerland
[3] Petersgraben 4, CH-4031 Basel, Switzerland
关键词
Laryngoscopy-Professional singer-Vocal fold length-Resonance space-Singing voice classifica-tion-3D; VOCAL FOLD LENGTH; LARYNGEAL DIMENSIONS; SINGERS; VALIDATION; FREQUENCY;
D O I
10.1016/j.jvoice.2021.04.029
中图分类号
R36 [病理学]; R76 [耳鼻咽喉科学];
学科分类号
100104 ; 100213 ;
摘要
: Objective. Predicting the correct singing voice classification based on laryngoscopy is an old myth. The aim of this study was to evaluate if a professional phoniatrician/laryngologist can predict the correct singing voice classification only from laryngoscopy and to analyze different anatomical parameters between professional sopranos and altos to determine whether a multivariate analysis of anatomical parameters can predict the singing register.Study design. Prospective studyMethods. We included 49 professional female singers (25 sopranos, 24 altos). Laryngoscopic images were shown to professional phoniatricians/laryngologists to rate whether it they show a soprano or an alto. In addi-tion, a high-resolution computer tomography (HRCT) scan was performed during singing of integral 0 by each singer. DICOM scan data were rendered and 3D-visualized using the software MIMICS. In all singers, we measured the length of the vocal folds of the glottis, the distance from the anterior commissure orthogonally to the vertebral spine, and the antero-posterior distance of the subglottis/trachea 1 cm and 2 cm below the glottis. We also mea-sured the length and volume of the resonance space. Results. It was not possible to predict the singing voice classification only from laryngoscopy. In the HRCT images, sopranos had significantly shorter vocal folds, a shorter glottal length, a shorter distance from the ante-rior commissure to the spine, and a shorter resonance space. When combining all parameters, the chance of cor-rectly predicting a soprano was 74.1% and an alto 68.2%. Conclusion. Although there are anatomical differences between sopranos and altos, prediction of the singing voice classification from laryngoscopy or HRCT is not reliable enough for clinical use.
引用
收藏
页码:968.e13 / 968.e18
页数:6
相关论文
共 37 条
  • [21] Cognitive Impairment Classification Prediction Model Using Voice Signal Analysis
    Sung, Sang-Ha
    Hong, Soongoo
    Kim, Jong-Min
    Kang, Do-Young
    Park, Hyuntae
    Kim, Sangjin
    ELECTRONICS, 2024, 13 (18)
  • [22] An Effective Initial/Final Duration Prediction Method for Corpus-based Singing Voice Synthesis of Mandarin Chinese
    Lin, Cheng-Yuan
    Jao, Pei-Chi
    Jang, J-S. Roger
    INTERSPEECH 2007: 8TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION, VOLS 1-4, 2007, : 1617 - 1620
  • [23] Two types of osteoporosis and fracture: "A" - BMD-dependent, and "B" - BMD-independent. A new insight into old classification.
    Badurski, JE
    JOURNAL OF BONE AND MINERAL RESEARCH, 2003, 18 : S252 - S252
  • [24] Synthesis of a Vocal Sound from the 3,000 year old Mummy, Nesyamun 'True of Voice'
    Howard, D. M.
    Schofield, J.
    Fletcher, J.
    Baxter, K.
    Iball, G. R.
    Buckley, S. A.
    SCIENTIFIC REPORTS, 2020, 10 (01)
  • [25] Synthesis of a Vocal Sound from the 3,000 year old Mummy, Nesyamun ‘True of Voice’
    D. M. Howard
    J. Schofield
    J. Fletcher
    K. Baxter
    G. R. Iball
    S. A. Buckley
    Scientific Reports, 10
  • [26] LOW RATE OF MORTALITY IN PATIENTS WITH STAGE 4 CIRRHOSIS: THE NEED OF A REASSESSMENT OF AN OLD CLASSIFICATION. THE AISF-EPASCO PROSPECTIVE MULTICENTRE STUDY
    Bruno, Savino
    Saibeni, Simone
    Vandelli, Carmen
    De Luca, Massimo
    Felder, Martina M.
    Niro, Grazia A.
    Gaeta, Giovanni B.
    D'Amico, Mario
    Cazzaniga, Massimo
    Andreone, Pietro
    Stroffolini, Tommaso
    Persico, Marcello
    Almasio, Piero L.
    HEPATOLOGY, 2010, 52 (04) : 885A - 886A
  • [27] Prediction of the clinical course of COPD using the old and the new GOLD classification
    Lange, Peter
    Marott, Jacob Louis
    Dahl, Morten
    Lngebrigtsen, Truls Sylvan
    Vestbo, Jorgen
    Nordestgaard, Borge
    EUROPEAN RESPIRATORY JOURNAL, 2012, 40
  • [28] MR textural analysis on T2 FLAIR images for the prediction of true oligodendroglioma by the 2016 WHO genetic classification
    Rui, Wenting
    Ren, Yan
    Wang, Yin
    Gao, Xinyi
    Xu, Xiao
    Yao, Zhenwei
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2018, 48 (01) : 74 - 83
  • [29] A Mixed Classification Approach for the Prediction of Parkinson's disease using Nonlinear Feature Selection Technique based on the Voice Recording
    Aich, Satyabrata
    Sain, Mangal
    Park, Jinse
    Choi, Ki-Won
    Kim, Hee-Cheol
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INVENTIVE COMPUTING AND INFORMATICS (ICICI 2017), 2017, : 959 - 962
  • [30] Prediction and classification in nonlinear data analysis: Something old, something new, something borrowed, something blue
    Meulman, JJ
    PSYCHOMETRIKA, 2003, 68 (04) : 493 - 517