Speech privacy and annoyance considerations in the acoustic environment of passenger cars of high-speed trains

Jeon, Jin Yong; Hong, Jae Young; Jang, Hyung Suk; Kim, Jae Hyun

doi:10.1121/1.4938223

Cited by 8 publications

(6 citation statements)

References 16 publications

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“…The STI, which is one of the speech privacy indicators, was calculated as the difference between the background noise and the speech level at the measurement points . In an effort to control the background noise level, we determined the change in the speech level due to the interior‐material changes based on the evaluation process.…”

Section: Resultsmentioning

confidence: 99%

“…Two concepts have been measured by speech intelligibility index (STI). The STI expresses the degree of change in the modulation depth caused by reverberation and by noise with an impulse response (IR) and signal-to-noise ratio that affect speech intelligibility (IEC 60268- 16,2003). The basic function of this evaluation is the modulation transfer function (MTF).…”

Section: Acoustical Parametersmentioning

confidence: 99%

“…Speech sounds may be masked according to the background noise level; however, a high background noise level can increase the overall noise annoyance. Therefore, Jeon et al . investigated masking levels to eliminate the background noise in high‐speed trains by considering speech privacy and noise annoyance, and they suggested an appropriate noise level of 60‐63 dBA.…”

Section: Introductionmentioning

confidence: 99%

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Control of interior surface materials for speech privacy in high-speed train cabins

2016

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The effect of interior materials with various absorption coefficients on speech privacy was investigated in a 1:10 scale model of one high-speed train cabin geometry. The speech transmission index (STI) and privacy distance (r ) were measured in the train cabin to quantify speech privacy. Measurement cases were selected for the ceiling, sidewall, and front and back walls and were classified as high-, medium- and low-absorption coefficient cases. Interior materials with high absorption coefficients yielded a low r , and the ceiling had the largest impact on both the STI and r among the interior elements. Combinations of the three cases were measured, and the maximum reduction in r by the absorptive surfaces was 2.4 m, which exceeds the space between two rows of chairs in the high-speed train. Additionally, the contribution of the interior elements to speech privacy was analyzed using recorded impulse responses and a multiple regression model for r using the equivalent absorption area. The analysis confirmed that the ceiling was the most important interior element for improving speech privacy. These results can be used to find the relative decrease in r in the acoustic design of interior materials to improve speech privacy in train cabins.

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Section: Resultsmentioning

confidence: 99%

Section: Acoustical Parametersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Control of interior surface materials for speech privacy in high-speed train cabins

2016

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“…Poisson (2008) measured the interior noise in high-speed train compartments and investigated the sound quality factors that influence passenger perception, and loudness was found to have a significant influence on annoyance from stationary sounds. Jeon et al (2015) conducted two experiments using different noise sources and compartment noise at different speech levels to obtain signal-to-noise ratios and background noise levels, and found that the speech privacy and annoyance were significantly affected by signal-to-noise ratio. Park et al (2015) used the paired comparison method to evaluate the short-term annoyance caused by various sounds, and the results showed that the loudness caused by different noise sources in the high-speed train compartment was closely related to the annoyance.…”

Section: Introductionmentioning

confidence: 99%

A novel subjective evaluation method for the sound quality of high-speed train compartments

Zhu

Guo

Zheng

et al. 2023

Journal of Vibration and Control

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In this paper, a sound quality subjective evaluation method for the high-speed train compartments using semantic scoring method with equal even intervals is proposed. The acoustic metrics in the compartment was studied at different positions and under different operating conditions, and two subjective evaluation experiments using selected sound samples were carried out. The least square method was used to point-fit the sound pressure level values of the original signal, so as to select the appropriate short-term intercepting samples. To avoid the unclear distinction between samples evaluated with the unit interval scoring table, a novel evaluation method that equals even interval semantic scoring method was designed by increasing the interval between adjacent scoring numbers in the scoring table. The results show that the proposed method distinguishes the perceived auditory differences between samples more clearly compared with the unit interval semantic scoring table. And the correlation of the evaluation results obtained by using the equal even interval scoring method between participants is also higher, so the proposed method is suitable for evaluating the sound quality of the interior high-speed train compartments. Psychoacoustic attribute metrics such as loudness, roughness, and sharpness were calculated for the various samples, and loudness was found to have a strong correlation with the subjective evaluation results obtained using the proposed equal even interval method. This further verifies that, compared with unit interval scoring, the proposed method facilitates the sound quality evaluation of the interior high-speed train compartments.

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“…Xie et al [2] characterized the cabin noise of light rail systems in Taiwan and Singapore. Jeon et al [3] measured background noise levels regarding speech privacy and annoyance in a train cabin. The average interior noise level inside a high-speed train cabin was found to be between 59 and 63 dB(A), taking normal speech levels into account.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Cabin Noise of Airport Express Rail Systems

Lee¹,

Kumar²,

Garg³

et al. 2021

Acoustics

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In this paper, the cabin noise of four airport express rail systems, namely the Taiwan Taoyuan International Airport MRT, the Hong Kong Airport Express, RER B service from Paris Gare du Nord to Paris Charles de Gaulle Airport, and the Shanghai Maglev, have been measured. These four airport express rail systems have different specifications and maximum speeds, ranging from 100 to 300 km/h. The results show a significant low-frequency noise content below 100 Hz, which would not be captured if the measurements were conducted in dB(A). The difference between Leq in terms of dB(C) and dB(A) ranges from 11.3 to 17.0 dB. The maximum speed of the Taoyuan Airport MRT was found to be the lowest at 100 km/h and with the lowest Leq in terms of 66.4 dB(A) and 81.4 dB(C). The Shanghai Maglev has a maximum speed of 300 km/h but a relatively low Leq of 69.7 dB(A), although its top speed is almost three times the maximum of the other airport rail systems. It also has the lowest Lmax of 73.1 dB(A) among the four rail systems. Moreover, the Paris RER B railway system, with its top speed of 120 km/h, was measured to have the highest Leq and Lmax values of 72.8 dB(A) and 83.8 dB(A), respectively.

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Speech privacy and annoyance considerations in the acoustic environment of passenger cars of high-speed trains

Cited by 8 publications

References 16 publications

Control of interior surface materials for speech privacy in high-speed train cabins

Control of interior surface materials for speech privacy in high-speed train cabins

A novel subjective evaluation method for the sound quality of high-speed train compartments

Comparison of Cabin Noise of Airport Express Rail Systems

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