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Applied Sciences
Special Issues
New Frontiers of Acoustic Modeling and Optimization
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New Frontiers of Acoustic Modeling and Optimization

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

Deadline for manuscript submissions: closed (31 January 2024) | Viewed by 3023

Special Issue Editors

Prof. Dr. Massimo Viscardi

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Guest Editor
Department of Industrial Engineering, Aerospace Section University of Naples “Federico II”, 80125 Naples, Italy
Interests: acoustic; finite element method; structural dynamics; SHM; vibration analysis and testing
Special Issues, Collections and Topics in MDPI journals
Dr. Maurizio Arena

E-Mail Website
Guest Editor
Department of Industrial Engineering, Aerospace Section University of Naples “Federico II”, 80125 Naples, Italy
Interests: actuators; multifunctional materials; sensor technology; structural dynamics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The topic of acoustics is assuming an increasingly prominent role in the industrial field. Following more and more stringent requirements in terms of low-emissivity or weight saving, the transport industry in particular has to deal with noise and vibration problems at the preliminary design stage. From such a perspective, the development of effective tools for prediction is a challenge that researchers must face. As a consequence, obtaining accurate information on system responses in the design phase may considerably reduce both computational and experimental efforts. On the wave of the previous Special Issue, the invitation of the editors deals with collecting novel contributions from members of the technical-scientific community who are involved in the advancement of predictive methods and in the study of solutions aimed at optimizing noise. Therefore, we encourage the submission of papers or reports on the development of forecasting tools, innovative materials, passive and active control, and smart systems that can have a significant impact on industrial growth.

Prof. Dr. Massimo Viscardi
Dr. Maurizio Arena
Guest Editors

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.

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Editorial

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1 pages, 156 KiB  
Editorial
Preface to the Special Issue on the New Frontiers of Acoustic Modeling and Optimization
by Maurizio Arena and Massimo Viscardi
Appl. Sci. 2022, 12(21), 11230; https://doi.org/10.3390/app122111230 - 05 Nov 2022
Viewed by 776
Abstract
The field of acoustics involves the study of sound propagation, both in free and closed environments, through the development of both forecasting simulations and experimental techniques [...] Full article
(This article belongs to the Special Issue New Frontiers of Acoustic Modeling and Optimization)

Research

Jump to: Editorial

12 pages, 791 KiB  
Article
Temporal and Spectral Models as Correlates to Auditory-Perceptual Judgments of Overall Severity and Listener Comfort in Tracheoesophageal Voice
by Philip C. Doyle, Hamzeh Ghasemzadeh and Jeff Searl
Appl. Sci. 2024, 14(1), 214; https://doi.org/10.3390/app14010214 - 26 Dec 2023
Viewed by 518
Abstract
Introduction: This study pursued two objectives: (1) to determine the potential association between listener (n = 51) judgments of 20 male tracheoesophageal speaker samples for two auditory-perceptual dimensions of voice, overall severity (OS) and listener comfort (LC); and (2) to assess the [...] Read more.
Introduction: This study pursued two objectives: (1) to determine the potential association between listener (n = 51) judgments of 20 male tracheoesophageal speaker samples for two auditory-perceptual dimensions of voice, overall severity (OS) and listener comfort (LC); and (2) to assess the temporal and spectral acoustic correlates for these auditory-perceptual dimensions. Methodology: Three separate correlation analyses were performed to evaluate the association between OS and LC. First, scores of OS and LC from all listeners were pooled together, and then the correlation between OS and LC was computed. Second, scores of OS and LC were averaged over all listeners to derive a single estimate of OS and LC for each TE speaker sample; the correlation between the average OS and LC was then computed. Third, listener-to-listener variability in the association between OS and LC was evaluated by computing the correlation between OS and LC scores from each listener across all TE samples. Finally, two stepwise multiple regression models were created to relate the average LC score to spectral and temporal variation in the acoustic signal. Results: While the pooled OS and LC scores had a moderate positive correlation (r = 0.66, p < 0.00001), the averaged OS and LC exhibited a near perfect positive correlation (r = 0.99, p < 0.00001). The significant differences between the pooled and averaged scores were explained by significant listener-to-listener variability in the association between OS and LC. OS and LC scores from 5 listeners had non-significant correlations, 10 had moderate correlations (r < 0.7), 35 listeners had high correlations (0.7 < r < 0.9), and 1 listener had a very high correlation (r < 0.9 < 1). Finally, the acoustic models created based on the spectral and temporal variations in the signal were able to account for 87.7% and 61.8% of variation in the average LC score. Conclusions: The strong correlations between OS and LC suggest that LC may, in fact, provide a more comprehensive auditory-perceptual surrogate for the voice quality of TE speakers. Although OS and LC are distinct conceptual dimensions, LC appears to have the advantage of assessing the social impact and potential communication disability that may exist in interactions between TE speakers and listeners. Full article
(This article belongs to the Special Issue New Frontiers of Acoustic Modeling and Optimization)
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15 pages, 3366 KiB  
Article
Determination of the Reverberation Time Using the Measurement of Sound Decay Curves
by Artur Nowoświat
Appl. Sci. 2023, 13(15), 8607; https://doi.org/10.3390/app13158607 - 26 Jul 2023
Viewed by 1140
Abstract
In the measurements of reverberation time, measurement methods of different accuracy are used depending on the room. For ordinary rooms, the measurements are made using the interrupted noise method, which consists of determining the decay curve after switching off the excitation source of [...] Read more.
In the measurements of reverberation time, measurement methods of different accuracy are used depending on the room. For ordinary rooms, the measurements are made using the interrupted noise method, which consists of determining the decay curve after switching off the excitation source of the room. The measurements are made for different source arrangements and different receiver arrangements, and at least three repetitions are made at each of such points. Due to such a realization of measurements, several dozen different reverberation curves are obtained, from which the reverberation time is read out. This article demonstrates the differences between reverberation time readouts, depending on the averaging method of reverberation curves. The first analyzed method is based on reading out the reverberation times for each obtained curve and on averaging the results obtained in this way. The second analyzed method involves averaging the reverberation curves using the linear regression method and then determining a simple regression on the basis of which the reverberation time is read out. For each method, different average reverberation time values and different standard uncertainties were obtained. The difference for the 500 Hz frequency band in a teaching room for the measurement uncertainty is 0.28 s. The results obtained in the article are extremely important when designing interiors intended for the reception of verbal sound, in particular teaching rooms. Full article
(This article belongs to the Special Issue New Frontiers of Acoustic Modeling and Optimization)
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