Loudness Scaling Test Based on Categorical Perception

Kostek, Bożena; Odya, Piotr; Suchomski, Piotr

doi:10.1515/aoa-2016-0061

Cited by 3 publications

(3 citation statements)

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“…The aim of the recordings was to collect the real research material reflecting the auditory sensations which a person on a sidewalk in an immediate vicinity of a busy road was exposed to. The material was supposed to be used in the future for the subjective assessment of the nuisance of traffic noise using the method of loudness scaling [15,30]. During the recordings and measurements, the microphone was placed on the stand at a height of 170 cm, which is a head height of a potential adult passer-by, and halfway up the width of the sidewalk, i.e.…”

Section: Measurements and Resultsmentioning

confidence: 99%

Metrology and Measurement Systems

Paszkowski

Kotus

Poremski³

et al. 2018

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The paper shows a study on the relationship between noise measures and sound quality (SQ) features that are related to annoyance caused by the traffic noise. First, a methodology to perform analyses related to the traffic noise annoyance is described including references to parameters of the assessment of road noise sources. Next, the measurement setup, location and results are presented along with the derived sound quality features. Then, statistical analyses are performed to compare the measurement results and sound quality features. The included conclusions are focused on showing that the obtained loudness values, regardless of the used system, are similar in a statistical sense. Contrarily, sharpness, roughness and fluctuation strength values differ for the tools employed.

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Section: Measurements and Resultsmentioning

confidence: 99%

Metrology and Measurement Systems

Paszkowski

Kotus

Poremski³

et al. 2018

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“…Before starting the main test, each person underwent a training phase to adjust the volume and become familiar with the listening equipment. Further information on loudness and related topics may be found in (Kostek et al, 2016;Maijala et al, 2018;Une, Miyazaki, 2020).…”

Section: Qoe Evaluationmentioning

confidence: 99%

Quality Evaluation of Speech Transmission via Two-way BPL-PLC Voice Communication System in an Underground Mine

2023

Archives of Acoustics

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In order to design a stable and reliable voice communication system, it is essential to know how many resources are necessary for conveying quality content. These parameters may include objective quality of service (QoS) metrics, such as: available bandwidth, bit error rate (BER), delay, latency as well as subjective quality of experience (QoE) related to user expectations. QoE is expressed as clarity of speech and the ability to interpret voice commands with adequate mean opinion score (MOS) grades. This paper describes a quality evaluation study of a two-way speech transmission system via bandwidth over power line -power line communication (BPL-PLC) technology in an operating underground mine. We investigate how different features of the available wired medium can affect end-user quality. The results of the described study include: two types of coupling (capacitive and inductive), two transmission modes (mode 1 and 11), and four language sets of speech samples (American English, British English, German, and Polish) encoded at three different bit rates (8, 16, and 24 kbps). Our findings can aid both researchers working on low-bit rate coding and compression, signal processing and speech perception, as well as professionals active in the mining and oil industry.

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“…4, but that this has rarely been done outside of Hellman's own work. A number of studies have shown recruitment functions with level on the abscissa and CUs on the ordinate (e.g., Garnier et al, 2000;Brand and Hohmann, 2002;Rasetshwane et al, 2015;Kostek et al, 2016;Oetting et al, 2016), but those functions are all distorted by the transform between CUs and loudness. Use of CU sone values provides functions closer in form to those shown by Hellman andMeiselman (1990, 1993).…”

Section: B Advantages Of the Cu Sone Transformmentioning

confidence: 99%

Deriving loudness growth functions from categorical loudness scaling data

Wróblewski

Rasetshwane

Neely

et al. 2017

The Journal of the Acoustical Society of America

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The goal of this study was to reconcile the differences between measures of loudness obtained with continuous, unbounded scaling procedures, such as magnitude estimation and production, and those obtained using a limited number of discrete categories, such as categorical loudness scaling (CLS). The former procedures yield data with ratio properties, but some listeners find it difficult to generate numbers proportional to loudness and the numbers cannot be compared across listeners to explore individual differences. CLS, where listeners rate loudness on a verbal scale, is an easier task, but the numerical values or categorical units (CUs) assigned to the points on the scale are not proportional to loudness. Sufficient CLS data are now available to assign values in sones, a scale proportional to loudness, to the loudness categories. As a demonstration of this approach, data from Heeren, Hohmann, Appell, and Verhey [J. Acoust. Soc. Am. 133, EL314-EL319 (2013)] were used to develop a CU metric, whose values were then substituted for the original CU values in reanalysis of a large set of CLS data obtained by Rasetshwane, Trevino, Gombert, Liebig-Trehearn, Kopun, Jesteadt, Neely, and Gorga [J. Acoust. Soc. Am. 137, 1899-1913 (2015)]. The resulting data are well fitted by power functions and are in general agreement with previously published results obtained with magnitude estimation, magnitude production, and cross modality matching.

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Loudness Scaling Test Based on Categorical Perception

Cited by 3 publications

References 13 publications

Metrology and Measurement Systems

Metrology and Measurement Systems

Quality Evaluation of Speech Transmission via Two-way BPL-PLC Voice Communication System in an Underground Mine

Deriving loudness growth functions from categorical loudness scaling data

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