Psycho-acoustic Evaluation and Analysis of the Indoor Noise in Cabins of a Naval Vessel to Specify its Allowable Limit

Abstract

The noise inside a naval vessel is very important in considering the need for hearing protection, improving the working environment and maintaining good communications for crews living on board a naval vessel. The indoor noise of a ship usually is specified by the A-weighted sound pressure level, but other evaluating parameters are required to reflect human senses more effectively. This paper uses additional noise indices related to room acoustics, such as NR(noise rating), NC(noise crite-

Psycho-acoustic evaluation of the indoor noise in cabins of a naval vessel using a back-propagation neural network algorithm

“…The results determined that the R-square levels between them were very high, as is shown in Table 2 (Hong et al, 2010). According to a simple linear regression analysis, the parameters used in this research to evaluate sound quality in a naval vessel were sufficiently affected by the satisfaction indices for the noise, such as "Loudness" and "Annoyance".…”

“…The average "Loudness" and "Annoyance" levels for each audio track were calculated based on the 10 jurors' response to the survey shown in Table 1 (Hong et al, 2010). When the psycho-acoustic evaluation was performed, sound parameters, such as A-weighted sound pressure level, NC, NR, RC, PSIL, and Zwicker's Loudness, were measured simultaneously.…”

“…Psycho-acoustic evaluation was performed in a small auditorium as shown in Fig. 1 (Hong et al, 2010). Ten jurors evaluated the 50 different audio tracks.…”

“…In our previous research (Hong et al, 2010), the psycho-acoustic evaluation was performed with recorded and modulated audio tracks. Using a B&K type 4189 microphone and a Type 3560B data acquisition system, these audio tracks were recorded in various cabins on the naval vessel.…”

“…When the multiple regression is performed in our previous research (Hong et al, 2010), the independent variables are Aweighted sound pressure level, NR, NC, RC, PSIL, and Zwicker's Loudness; the dependent variables are "Loudness" and "Annoyance"; and the regression equation is shown in Eq. (6) …”