Singing Power Ratio Analysis in the Context of the Influence of Warm up on Singing Voice Quality

2019 ◽  
pp. 246-254
Author(s):  
Edward Półrolniczak
Keyword(s):  
Voice Quality ◽  
Ratio Analysis ◽  
Power Ratio ◽  
Singing Voice ◽  
Warm Up

Singing power ratio: Quantitative evaluation of singing voice quality

1996 ◽  
Vol 10 (3) ◽  
pp. 228-235 ◽  
Author(s):  
Koichi Omori ◽  
Ashutosh Kacker ◽  
Linda M. Carroll ◽  
William D. Riley ◽  
Stanley M. Blaugrund
Keyword(s):  
Quantitative Evaluation ◽  
Voice Quality ◽  
Power Ratio ◽  
Singing Voice

The Singing Power Ratio as an Objective Measure of Singing Voice Quality in Untrained Talented and Nontalented Singers

2006 ◽  
Vol 20 (1) ◽  
pp. 82-88 ◽  
Author(s):  
Christopher Watts ◽  
Kathryn Barnes-Burroughs ◽  
Julie Estis ◽  
Debra Blanton
Keyword(s):  
Voice Quality ◽  
Objective Measure ◽  
Power Ratio ◽  
Singing Voice

Peak-to-average power ratio analysis in multicarrier DS-CDMA

2003 ◽  
Vol 52 (3) ◽  
pp. 561-568 ◽  
Author(s):  
Xi-Kai Zhao ◽  
Xian-Da Zhang
Keyword(s):  
Average Power ◽  
Ratio Analysis ◽  
Power Ratio

Student Voice Use and Vocal Health During an All-State Chorus Event

2010 ◽  
Vol 58 (4) ◽  
pp. 346-367 ◽  
Author(s):  
James F. Daugherty ◽  
Jeremy N. Manternach ◽  
Kathy K. Price
Keyword(s):  
Vocal Fold ◽  
Voice Quality ◽  
Health Perceptions ◽  
Singing Voice ◽  
Vocal Health ◽  
Close Proximity ◽  
Rest Time ◽  
Field Notes ◽  
Voice Use

This field-based case study documented students’ ( N = 256) voice use and voice health perceptions during a 3-day all-state high school chorus event through daily surveys, phonation duration data, analysis of rehearsal voice use behaviors, and field notes. Among the primary results are the following: (a) First and final day survey comparisons indicated significant declining changes in 5 of 7 voice health indicator statements and in self-perceptions of singing voice quality, yet (b) most students (78.8%) believed they had taken good care of their voices; (c) self-reported sleep hours decreased significantly; (d) vocal fold contact time measured with two students ranged from 15% to 38% during rehearsal periods, 1% to 27% during on-site non-rehearsal times, and 3% to 17% during measured pre- and post-event activities, but (e) overall percentages of vocal fold contact varied little between regular rehearsal and on-site non-rehearsal events (female: 19.37% rehearsal, 20.11% non-rehearsal; male: 22.89% rehearsal, 20.54% non-rehearsal); (f) rehearsal voice rest time (63%) exceeded voice use time (37%); (g) students sat in close proximity to other choristers for approximately 73% of rehearsal time; and (h) the two compositions ranked highest relative to demands on adolescent voices consumed 61% of rehearsal time.

Singing Voice Quality: The Effects of Maxillary Dental Arch and Singing Style

2019 ◽  
Author(s):  
Pasquale Bottalico ◽  
Mark T. Marunick ◽  
Charles J. Nudelman ◽  
Jossemia Webster ◽  
Maria Cristina Jackson-Menaldi
Keyword(s):  
Voice Quality ◽  
Dental Arch ◽  
Singing Voice ◽  
Singing Style

scholarly journals The Effect of Head Flexion/Extension on Acoustic Measures of Singing Voice Quality

2020 ◽  
Vol 34 (6) ◽  
pp. 964.e11-964.e21 ◽  
Author(s):  
Elizabeth Johnson Knight ◽  
Stephen F. Austin
Keyword(s):  
Voice Quality ◽  
Singing Voice ◽  
Acoustic Measures ◽  
Flexion Extension ◽  
Head Flexion

Effects of HearFones on speaking and singing voice quality

2004 ◽  
Vol 18 (4) ◽  
pp. 475-487 ◽  
Author(s):  
Anne-Maria Laukkanen ◽  
Nils Peter Mickelson ◽  
Marja Laitala ◽  
Tiina Syrjä ◽  
Arla Salo ◽  
...  
Keyword(s):  
Voice Quality ◽  
Singing Voice

The usefulness of the acoustic and the capacity analysis of singing voice

2019 ◽  
Vol 73 (3) ◽  
pp. 16-25
Author(s):  
Joanna Nowosielska-Grygiel ◽  
Jurek Olszewski
Keyword(s):  
Treatment Group ◽  
Fundamental Frequency ◽  
Voice Quality ◽  
Control Group ◽  
Capacity Analysis ◽  
Efficiency Coefficient ◽  
Singing Voice ◽  
Average Value ◽  
The Military ◽  
Relative Period

Abstract Introduction: The aim of the study was to assess the acoustic and capacity analysis of singing voice using DiagnoScope Specialist software. Material and methods: The study was conducted in 120 adults subjects, including 74 women and 46 men aged 21-5, were divided into 3 groups: I -40 subjects (treatment group) – professional vocalists, II- 40 subjects (treatment group) – semiprofessional vocalists, III- 40 subjects (control group) – students of The Military Medical Faculty at Medical University of Lodz – nonsingers. The research methodology included: primary medical history, physical examination (otolaryngological), vdeolaryngoscopic examination, the GRBAS scale for subjective voice evaluation, diagnostic voice acoustic and capacity analysis using DiagnoScope Specialist software, survey on lifestyle patterns which may affect voice quality. Results: Average value of the fundamental frequency F0 was the highest in professional vocalists’ group was 316,46 Hz in women and 165,09 Hz in men, in semiprofessional vocalists’ group was accordingly 260,50 Hz and 149,26 Hz, in nonsingers’ group was accordingly 261,23 Hz and 159, 27 Hz. Average value of Jitter parameter in professional vocalists’ group was 0,30% in women and 0,54% in men, in semiprofessional vocalists’ group was accordingly 0,31% and 0,57%, in nonsingers’ group was 0,31% and 0,56%. Average value of Shimmer parameter in professional vocalists’ group was 3,27% in women and 3,75% in men, in semiprofessional vocalists’ group was accordingly 3,46% and 3,77%, in nonsingers’ group was 4,33% and 4,39%. Average value of NHR index in professional vocalists’ group was 3,28% in women and 6,00% in men, in semiprofessional vocalists’ group was accordingly 3,23% and 6,72%, in nonsingers’ group was 3,89% and 6,13%. Conclusions: Values of the parameters which are measuring the character of the voice, relative period-to-period fundamental frequency perturbations, relative period-to-period amplitude perturbation and level of buzzing together with other methods have diagnostic and predictive value in early detection of voice disorders. Capacity analysis in singing voice showed very low values of the following parameters: phonation time, true phonation time, no phonation coefficient, voice efficiency coefficient and voice capacity. Key words: The acoustic and capacity analysis, singing voice

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