scholarly journals Correlations between harmonic distortion, sound field characteristics and reproduced sound quality change in listening tests for loudspeakers.

1990 ◽  
Vol 11 (1) ◽  
pp. 29-42
Author(s):  
Yasuaki Tannaka ◽  
Kiyoshi Muramori ◽  
Makoto Kohashi ◽  
Tsuneji Koshikawa
Author(s):  
Nurkan Turkdogru Gurun ◽  
Hemang N. Sheth

This paper aims to identify the attributes that describe aircraft interior noise, determine most important psychoacoustic models that characterize cabin sounds, and construct a prediction model that can be utilized for VIP and business jets to evaluate subjective perception. In the first part, paired comparison listening tests and free verbalization are conducted with expert subjects who experienced VIP and business aircraft flight. The study generated a list of adjective pairs that describe perception of cabin sounds to be used for semantic differential listening tests. Multi-dimensional scaling is performed on paired comparison data. Results showed that subjects’ decisions can be categorized in loudness and annoyance dimensions which are not necessarily linearly associated. The second part of the study is the development of a sound quality prediction model for aircraft cabin. Semantic differential tests are conducted with potential customers. Objective sound quality metrics are correlated to subjective test responses using principal components regression. This model is found to be most effective explaining pleasantness, comfort, and loudness perception. It is intended to be utilized to modify/redesign noise control treatments and sound signature of an aircraft. All listening tests were conducted inside an aircraft cabin simulator considering the influence of visual content.


2012 ◽  
Vol 98 (3) ◽  
pp. 487-504 ◽  
Author(s):  
M. Horvat ◽  
H. Domitrovi ◽  
K. Jambrošić

Sound quality evaluation in the context of product sound quality has been addressed and investigated on hand-held power tools. Out of those, power drills, hand-held circular saws and jigsaws have been chosen as the products of interest. A series of listening tests has been conducted in order to ascertain how people perceive not only the sound emitted by these devices in operation, but also certain properties of the devices themselves, such as their quality, safety of handling, robustness, proper functioning and others. The values of objective parameters describing the sounds of these devices were obtained. Well known parameters such as loudness, sharpness and roughness were used, and certain new parameters were defined. Linear regression models were made for subjective parameters describing the perception of the devices using relevant objective parameters as an attempt to model the subjective grades obtained through listening tests and to predict such grades for future products to be included in the investigation. Based on individual parameters, a single-number overall grade was defined.


Energies ◽  
2020 ◽  
Vol 13 (4) ◽  
pp. 777 ◽  
Author(s):  
Zhengwei Yang ◽  
Huihua Feng ◽  
Bingjie Ma ◽  
Ammar Abdualrahim Alnor Khalifa

Traditional acoustic evaluation of a diesel engine generally uses the A-weighted sound pressure level (AWSPL) and radiated sound power to assess the noise of an engine prototype present in an experiment. However, this cannot accurately and comprehensively reflect the auditory senses of human subjects during the simulation stage. To overcome such shortage, the Moore–Glasberg loudness and sharpness approach is applied to evaluate and improve the sound quality (SQ) of a 16 V-type marine diesel engine, and synthesizing noise audio files. Through finite element (FE) simulations, the modes of the engine’s block and the average vibrational velocity of the entire engine surface were calculated and compared with the test results. By further applying an automatically matched layer (AML) approach, the engine-radiated sound pressure level (SPL) and sound power contributions of all engine parts were obtained. By analyzing the Moore–Glasberg loudness and sharpness characteristics of three critical sound field points, an improvement strategy of the oil sump was then proposed. After improvement, both the loudness and sharpness decreased significantly. To verify the objective SQ evaluation results, ten noise audio clips of the diesel engine were then synthesized and tested. The subjective evaluation results were in accordance with the simulated analysis. Therefore, the proposed approach to analyze and improve the SQ of a diesel engine is reliable and effective.


2021 ◽  
Vol 263 (6) ◽  
pp. 886-893
Author(s):  
Matthieu Kuntz ◽  
Gregor-Johannes Müller ◽  
Peter Kalinke ◽  
Bernhard U. Seeber

Virtual and laboratory-based design techniques can accelerate the development process over conventional prototype-and-field-test procedures. In car acoustics, the transmission of outside airborne noise into the cabin needs to be understood and managed. Here, we evaluate the accuracy of sound field recording and reproduction techniques for investigating the transmission of airborne noise into the driver's cabin of a car. Reference measurements of a real sound field, generated by a truck with idling engine to create a realistic scenario, were carried out in a semi-anechoic chamber. The reference sound field was recorded inside and around a test car. Additionally, a spatial recording of the reference sound field was carried out and used to reproduce the reference sound field over a loudspeaker array in a different, fully anechoic chamber, where the sound field was again measured inside and around the same test car. A comparison of the measured loudness inside the test car shows that this key parameter for sound quality could be reproduced rather faithfully over a loudspeaker array in a controlled testing facility.


2011 ◽  
Vol 105-107 ◽  
pp. 1839-1842
Author(s):  
Yi Hong Li ◽  
Ai Ying Yang

This paper covers the requirement and measurement of sound quality in the surround sound classroom. Based on the characteristics of the sound field, this paper specially deals with the design of acoustics requirement of the characteristics of reverberation frequency and sound propagation. In order to meet the requirements of recording in signal to noise ratio, comprehensive methods in noise decrease are adopted in design, which include the reduction of noise in room background. Through the checking of the testing data and the evaluation of the users, various acoustics norms meet the requirements of acoustics and the demands of the using.


2019 ◽  
Vol 9 (6) ◽  
pp. 1226 ◽  
Author(s):  
Thomas McKenzie ◽  
Damian Murphy ◽  
Gavin Kearney

Ambisonics is a spatial audio technique appropriate for dynamic binaural rendering due to its sound field rotation and transformation capabilities, which has made it popular for virtual reality applications. An issue with low-order Ambisonics is that interaural level differences (ILDs) are often reproduced with lower values when compared to head-related impulse responses (HRIRs), which reduces lateralization and spaciousness. This paper introduces a method of Ambisonic ILD Optimization (AIO), a pre-processing technique to bring the ILDs produced by virtual loudspeaker binaural Ambisonic rendering closer to those of HRIRs. AIO is evaluated objectively for Ambisonic orders up to fifth order versus a reference dataset of HRIRs for all locations on the sphere via estimated ILD and spectral difference, and perceptually through listening tests using both simple and complex scenes. Results conclude AIO produces an overall improvement for all tested orders of Ambisonics, though the benefits are greatest at first and second order.


Author(s):  
James J. Chatterley ◽  
Andrew J. Boone ◽  
Thomas L. Lago¨ ◽  
Jonathan Blotter ◽  
Scott D. Sommerfeldt ◽  
...  

Sound quality analysis is an invaluable tool for the product designer. This tool is designed to help determine customer preferences, which can help the designer improve product quality, or the consumers’ perception of the product’s quality. Many industries desire to know how the consuming public perceives their product as this affects the product life and viability. This paper will present which of two brands of sewing machines ranging in market segments from entry-level, thru mid-level machines, to high-end computer controlled units, is the most acoustically pleasant. Results across market segments independent of brand will be evaluated and compared, as well. The methods used to determine the sound quality of these machines will be presented. These methods are both jury based listening tests and quantitative sound quality metrics.


Acta Acustica ◽  
2021 ◽  
Vol 5 ◽  
pp. 7
Author(s):  
Abdelghani Benghanem ◽  
Olivier Valentin ◽  
Philippe-Aubert Gauthier ◽  
Alain Berry

The sensory perception of products influences the relationship of potential users or buyers with these products. Sound quality is part of this sensory experience and is critical for products such as sports or utility vehicles as the sound conveys the impression of power or efficiency, among others. Therefore, there is a need to provide tools based on scientific methodology to acoustical engineers designing such vehicles. The motivation of this work was the need to explore new and faster methods for quicker and simpler sound quality evaluation. In this paper, the sound quality of side-by-side utility vehicles is investigated using the rapid sensory profile measurement method, and then by creating virtual participants using bootstrapping methods. Additionally, this study also investigates the effect of loudness equalization of the sound samples used during the listening tests. Results from these studies were used to establish the sensory profiles, desire-to-buy values and desirable sound profiles regarding the tested vehicles. Equalized loudness tests provide a finer sensory profile than those obtained using non-equalized sound samples. Furthermore, statistical analysis results confirm that adding virtual participants to the original data using a bootstrapping approach helps highlighting key information without altering the validity of the results.


2015 ◽  
Vol 23 (02) ◽  
pp. 1550008 ◽  
Author(s):  
Mingsian R. Bai ◽  
Chia-Hao Kuo

This paper examines two fundamental issues in sound field analysis: acoustic sources localization and separation. Algorithms are developed to locate and separate acoustic signals on the basis of plane-wave decomposition. In the localization stage, directions of plane waves are determined using either minimum variance distortionless response (MVDR) method or multiple signal classification (MUSIC) method. For broadband scenarios, coherent and incoherent techniques are utilized in the localization procedure. In the separation stage, two approaches with overdetermined and underdetermined settings can be employed. In the overdetermined approach, Tikhonov regularization (TIKR) is utilized to recover the source signals. In the underdetermined approach, the steering matrix is augmented by including the directions that have been determined in the localization stage. Hence, the separation problem is formulated into a compressive sensing (CS) problem which can be effectively solved by using convex (CVX) optimization. Simulation and experiments are conducted for a 24-element circular array. Objective tests using perceptual evaluation of speech quality (PESQ) tests and subjective listening tests demonstrate that the proposed methods yield speech signals with well separated and improved quality, as compared to the mixed signals.


Sign in / Sign up

Export Citation Format

Share Document