Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
5.3
2.5
Journals
Applied Sciences
Special Issues
Selected Papers from The 13th International Conference on Advances in...
applsci-logo
Submit to Applied Sciences Review for Applied Sciences Propose a Special Issue

Journal Menu

► Journal Menu

Journal Browser

► Journal Browser
share announcement

Selected Papers from The 13th International Conference on Advances in Quantitative Laryngology, Voice and Speech Research

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Acoustics and Vibrations".

Deadline for manuscript submissions: closed (15 October 2019) | Viewed by 14363

Special Issue Editor

Prof. Dr. Luc Mongeau

E-Mail Website
Guest Editor
Department of Mechanical Engineering, McGill University, Montreal, QC H3A 0C3, Canada
Interests: biomechanics; tissue engineering; aeroacoustics

Special Issue Information

Dear Colleagues,

The 13th International Conference on Advances in Quantitative Laryngology, Voice and Speech Research (AQL 2019; http://aql2019.conference.mcgill.ca/index.html) will be held in Montreal, Canada, 3–4 June, 2019. Pre-conference workshops will be held on 2 June, 2019. The conference and workshops provide a unique opportunity for partnership and collaboration in the advancement of quantitative methods for the measurement and modelling of voice and speech. The AQL accomplishes this mandate by facilitating an interprofessional scientific conference and training intended for an international community of otolaryngologists, speech–language pathologists and voice scientists. With a continued drive toward advancements in translational and clinical voice science, the AQL has rapidly expanded over the past 20 years, from a forum of 15 European member laboratories to a globally recognized symposium, connecting over 100 delegates from across the world. This Special Issue will be based on selected papers from the conference. All participants are encouraged to submit a full-length paper for peer-reviewed publication in archival form.

Prof. Dr. Luc Mongeau
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Acoustic, aerodynamic, imaging and kinematic measurements of vocal mechanisms
  • Computer modeling and simulation of vocal physiology and biology
  • Laryngeal biology, immunology and engineering
  • Machine learning and artificial intelligence in voice processing, recognition and synthesis
  • Neural control of phonation and singing
  • Tissue biomechanics of vocal folds and laryngeal musculature
  • Wearable devices, mobile apps and human–computer interaction for vocal health

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Published Papers (4 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

Jump to: Other

14 pages, 2661 KiB  
Article
An Auditory-Perceptual and Pupillometric Study of Vocal Strain and Listening Effort in Adductor Spasmodic Dysphonia
by Mojgan Farahani, Vijay Parsa, Björn Herrmann, Mason Kadem, Ingrid Johnsrude and Philip C. Doyle
Appl. Sci. 2020, 10(17), 5907; https://doi.org/10.3390/app10175907 - 26 Aug 2020
Cited by 5 | Viewed by 2405
Abstract
This study evaluated ratings of vocal strain and perceived listening effort by normal hearing participants while listening to speech samples produced by talkers with adductor spasmodic dysphonia (AdSD). In addition, objective listening effort was measured through concurrent pupillometry to determine whether listening to [...] Read more.
This study evaluated ratings of vocal strain and perceived listening effort by normal hearing participants while listening to speech samples produced by talkers with adductor spasmodic dysphonia (AdSD). In addition, objective listening effort was measured through concurrent pupillometry to determine whether listening to disordered voices changed arousal as a result of emotional state or cognitive load. Recordings of the second sentence of the “Rainbow Passage” produced by talkers with varying degrees of AdSD served as speech stimuli. Twenty naïve young adult listeners perceptually evaluated these stimuli on the dimensions of vocal strain and listening effort using two separate visual analogue scales. While making the auditory-perceptual judgments, listeners’ pupil characteristics were objectively measured in synchrony with the presentation of each voice stimulus. Data analyses revealed moderate-to-high inter- and intra-rater reliability. A significant positive correlation was found between the ratings of vocal strain and listening effort. In addition, listeners displayed greater peak pupil dilation (PPD) when listening to more strained and effortful voice samples. Findings from this study suggest that when combined with an auditory-perceptual task, non-volitional physiologic changes in pupil response may serve as an indicator of listening and cognitive effort or arousal. Full article
(This article belongs to the Special Issue Selected Papers from The 13th International Conference on Advances in Quantitative Laryngology, Voice and Speech Research)
►▼ Show Figures

Figure 1

18 pages, 6559 KiB  
Article
A Deep Neural Network Based Glottal Flow Model for Predicting Fluid-Structure Interactions during Voice Production
by Yang Zhang, Xudong Zheng and Qian Xue
Appl. Sci. 2020, 10(2), 705; https://doi.org/10.3390/app10020705 - 19 Jan 2020
Cited by 13 | Viewed by 3793
Abstract
This paper proposes a machine-learning based reduced-order model that can provide fast and accurate prediction of the glottal flow during voice production. The model is based on the Bernoulli equation with a viscous loss term predicted by a deep neural network (DNN) model. [...] Read more.
This paper proposes a machine-learning based reduced-order model that can provide fast and accurate prediction of the glottal flow during voice production. The model is based on the Bernoulli equation with a viscous loss term predicted by a deep neural network (DNN) model. The training data of the DNN model is a Navier-Stokes (N-S) equation-based three-dimensional simulation of glottal flows in various glottal shapes generated by a synthetic shape function, which can be obtained by superimposing the instantaneous modal displacements during vibration on the prephonatory geometry of the glottal shape. The input parameters of the DNN model are the geometric and flow parameters extracted from discretized cross sections of the glottal shapes and the output target is the corresponding flow resistance coefficient. With this trained DNN-Bernoulli model, the flow resistance coefficient as well as the flow rate and pressure distribution in any given glottal shape generated by the synthetic shape function can be predicted. The model is further coupled with a finite-element method based solid dynamics solver for simulating fluid-structure interactions (FSI). The prediction performance of the model for both static shape and FSI simulations is evaluated by comparing the solutions to those obtained by the Bernoulli and N-S model. The model shows a good prediction performance in accuracy and efficiency, suggesting a promise for future clinical use. Full article
(This article belongs to the Special Issue Selected Papers from The 13th International Conference on Advances in Quantitative Laryngology, Voice and Speech Research)
►▼ Show Figures

Figure 1

13 pages, 972 KiB  
Article
Vocal Pitch Discrimination in Children with and without Vocal Fold Nodules
by Elizabeth S. Heller Murray, Anne F. Hseu, Roger C. Nuss, Geralyn Harvey Woodnorth and Cara E. Stepp
Appl. Sci. 2019, 9(15), 3042; https://doi.org/10.3390/app9153042 - 28 Jul 2019
Cited by 10 | Viewed by 3143
Abstract
Vocal pitch discrimination abilities were compared in sixteen children with vocal fold nodules (CwVN) and sixteen matched controls with typical voices (CwTV). Vocal pitch discrimination was also evaluated in thirty-five vocally healthy children and twenty adults to examine potential changes as a function [...] Read more.
Vocal pitch discrimination abilities were compared in sixteen children with vocal fold nodules (CwVN) and sixteen matched controls with typical voices (CwTV). Vocal pitch discrimination was also evaluated in thirty-five vocally healthy children and twenty adults to examine potential changes as a function of maturation. CwTV were categorized as either younger (N = 15, 5.6–7.7 years) or older (N = 20, 8.2–11.7 years). Participants completed two-alternative, forced choice listening tasks in which they judged whether pairs of sustained /ɑ/ tokens were different in pitch. Each pair consisted of a base token with a fundamental frequency (fo) of 216.2 Hz and a test token with a fo that was adaptively modified, according to the participant’s prior judgments. There were no significant differences in pitch discrimination abilities between CwVN and CwTV. Pitch discrimination abilities were significantly poorer in younger and older CwTV as compared to adults. Additionally, younger CwTV had significantly poorer discrimination abilities than older CwTV. Findings from this study suggest that CwVN do not have differences in pitch discrimination abilities, yet, therapies designed for CwVN should consider this developmental trend in perceptual abilities. Full article
(This article belongs to the Special Issue Selected Papers from The 13th International Conference on Advances in Quantitative Laryngology, Voice and Speech Research)
►▼ Show Figures

Figure 1

Other

Jump to: Research

114 pages, 675 KiB  
Meeting Report
The 13th International Conference on Advances in Quantitative Laryngology, Voice and Speech Research (June 2–4, 2019, Montreal, Quebec, Canada)
by Luc Mongeau
Appl. Sci. 2019, 9(13), 2665; https://doi.org/10.3390/app9132665 - 30 Jun 2019
Viewed by 4364
Abstract
The 13th International Conference on Advances in Quantitative Laryngology, Voice and Speech Research (AQL 2019) will be held in Montreal, Canada, 3–4 June 2019. Pre-conference workshops will be held on 2 June 2019. The conference and workshops provide a unique opportunity for partnership [...] Read more.
The 13th International Conference on Advances in Quantitative Laryngology, Voice and Speech Research (AQL 2019) will be held in Montreal, Canada, 3–4 June 2019. Pre-conference workshops will be held on 2 June 2019. The conference and workshops provide a unique opportunity for partnership and collaboration in the advancement of quantitative methods for the measurement and modelling of voice and speech. The AQL accomplishes this mandate by facilitating an interprofessional scientific conference and training intended for an international community of otolaryngologists, speech–language pathologists and voice scientists. With a continued drive toward advancements in translational and clinical voice science, the AQL has rapidly expanded over the past 20 years, from a forum of 15 European member laboratories to a globally recognized symposium, connecting over 100 delegates from across the world. Full article
(This article belongs to the Special Issue Selected Papers from The 13th International Conference on Advances in Quantitative Laryngology, Voice and Speech Research)
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-4
Back to TopTop