| Literature DB >> 36141518 |
Feng Li1, Jiali Xiang1, Tao Li1, Danni Shen1, Tian Li1.
Abstract
Indoor soundscape research has developed rapidly in recent years, with the aim of improving the single indoor noise reduction method and people's acoustic comfort. However, practical solutions to promote the generation of positive indoor soundscapes are still insufficient. The purpose of this study was to explore the improvement effect of ceramic passive amplifiers on the indoor soundscape and the relationship between the improvement effect and different amplifier shapes. Objective sound pressure level (SPL) values and subjective soundscape perception were measured for 10 ceramic passive amplifiers based on the soundscape, mainly using a comparative method. Ten sample amplifiers were compared with the acoustic data of the original open-plan studio environment, and then with an electronic sound amplifier. The results show that ceramic passive amplifiers can improve the quality of the indoor soundscape by creating sound scenes with appropriate loudness. Regarding non-acoustic aspects, the shape and materials of ceramic passive amplifiers play a positive role in emotional guidance.Entities:
Keywords: ceramic passive amplifier; emotional perception; indoor soundscape
Mesh:
Year: 2022 PMID: 36141518 PMCID: PMC9517679 DOI: 10.3390/ijerph191811251
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 4.614
Figure 1Details of experimental parameters of samples of ceramic mobile passive amplifiers (unit: cm).
Figure 2(a) Location of open-plan studio; (b) test environment in open-plan studio.
Experimental equipment parameters.
| Name of Instrument | Model | Factory Number | Number | Manufacturer | Equipment Number |
|---|---|---|---|---|---|
| Portable measurement and analysis system | SA-A1FTRTB4 | 01170458 | 1 | Brüel & Kjær | STS-YQ/N0048 |
| Preamplifier + test microphone | UC-57/NH-22A | 00573 + 80306 | 4 | / | STS-YQ/N0050 |
| 00573 + 80307 | STS-YQ/N0051 | ||||
| 00573 + 80308 | STS-YQ/N0052 | ||||
| 00573 + 80309 | STS-YQ/N0053 | ||||
| Semi-anechoic room | JYT-0922B | 20170922 | 1 | / | STS-YQ/L0003 |
| Temperature and humidity meter | / | / | 1 | / | STS-YQ/C0037 |
| Mao King FM/Bluetooth portable speaker | MW-2A | 180206943716 | 1 | Shenzhen Cloud Motion Creative Technology Co., Ltd. (Shenzhen, China) | / |
Figure 3Layout diagram of instrument and equipment.
Figure 4Actual shot of experimental scene (sample 9).
Sound source identification in open-plan studio environment.
| Sound Source Type | Mechanical Voice | Artificial Voice | Natural Sound | ||
|---|---|---|---|---|---|
| Recognition degree | Not at all | A little | Moderately | A lot | Dominates completely |
| Score conversion | 5 | 4 | 3 | 2 | 1 |
Mood scale.
| Emotional Category | Pleasant | Calm | Relaxed | Lively | Free | Familiar |
|---|---|---|---|---|---|---|
| Annoyance | Dull | Stress | Monotone | Vapid | Strange | |
| Perceived level | Very much agree | Agree | General | Do not agree | Strongly disagree | |
| Score conversion | 5 | 4 | 3 | 2 | 1 | |
Overall assessment of open-plan studio’s sound environment.
| Soundscape Quality | Very Satisfied | Relatively Satisfied | General | Relatively Dissatisfied | Very Dissatisfied |
|---|---|---|---|---|---|
| Score conversion | 5 | 4 | 3 | 2 | 1 |
Average sound pressure values of 10 samples in four azimuths at different frequencies (dbSPL).
| Sample | Frequency Range | 1st Azimuth Mean | 2nd Azimuth Mean | 3rd Azimuth Mean | 4th Azimuth Mean |
|---|---|---|---|---|---|
| 1 | Low frequency | 22.1 | 22.7 | 18.7 | 18.9 |
| Medium frequency | 50.3 | 55.7 | 50.5 | 53.1 | |
| High frequency | 54.2 | 58.8 | 55.4 | 51.0 | |
| 2 | Low frequency | 26.3 | 26.3 | 20.8 | 20.7 |
| Medium frequency | 50.2 | 55.6 | 50.5 | 53.1 | |
| High frequency | 53.7 | 58.1 | 55.7 | 52.5 | |
| 3 | Low frequency | 24.3 | 25.5 | 25.8 | 25.1 |
| Medium frequency | 50.3 | 53.2 | 51.1 | 49.5 | |
| High frequency | 54.4 | 55.1 | 51.1 | 49.2 | |
| 4 | Low frequency | 24.8 | 25.3 | 23.1 | 23.4 |
| Medium frequency | 49.3 | 46.4 | 51.2 | 47.9 | |
| High frequency | 51.7 | 55.9 | 51.6 | 51.6 | |
| 5 | Low frequency | 22.1 | 22.7 | 23.4 | 22.6 |
| Medium frequency | 48.1 | 48.7 | 48.7 | 49.3 | |
| High frequency | 56.1 | 56.3 | 56.0 | 56.9 | |
| 6 | Low frequency | 19.9 | 20.9 | 20.4 | 20.2 |
| Medium frequency | 49.3 | 54.2 | 49.9 | 51.1 | |
| High frequency | 53.3 | 57.9 | 51.1 | 50.0 | |
| 7 | Low frequency | 24.2 | 24.1 | 24.6 | 24.5 |
| Medium frequency | 51.4 | 50.0 | 51.4 | 49.0 | |
| High frequency | 52.6 | 52.6 | 50.4 | 52.9 | |
| 8 | Low frequency | 22.9 | 23.0 | 24.1 | 24.5 |
| Medium frequency | 48.7 | 52.5 | 49.3 | 52.3 | |
| High frequency | 52.7 | 52.5 | 54.5 | 51.4 | |
| 9 | Low frequency | 22.9 | 22.6 | 24.4 | 24.3 |
| Medium frequency | 52.9 | 51.6 | 53.0 | 52.8 | |
| High frequency | 53.9 | 53.5 | 53.3 | 53.5 | |
| 10 | Low frequency | 24.8 | 25.7 | 22.6 | 22.5 |
| Medium frequency | 54.6 | 54.3 | 54.3 | 54.7 | |
| High frequency | 59.7 | 52.4 | 60.9 | 49.4 | |
| Mobile phone | Low frequency | 26.4 | 25.8 | 26.6 | 26.2 |
| Medium frequency | 48.4 | 50.3 | 47.5 | 42.5 | |
| High frequency | 53.0 | 55.6 | 52.0 | 48.6 |
Weight analysis data of 10 samples.
| Sample | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
|---|---|---|---|---|---|---|---|---|---|---|
| Score | 2.6 | 3.1 | 1.4 | 1.2 | 1.5 | 1.9 | 1.5 | 1.4 | 1.9 | 2.9 |
Average values of A-weighted equivalent continuous sound pressure level for 4 azimuths of 10 samples (dbSPL).
| Sample Type | Sample | 1st Azimuth Mean | 2nd Azimuth Mean | 3rd Azimuth Mean | 4th Azimuth Mean |
|---|---|---|---|---|---|
| First type | 1 | 68.8 | 73.7 | 69.7 | 68.9 |
| 2 | 68.7 | 73.1 | 69.8 | 68.6 | |
| 3 | 68.2 | 70.6 | 67.3 | 64.6 | |
| Second type | 4 | 66.6 | 69.5 | 66.6 | 65.8 |
| 5 | 70.1 | 70.4 | 70.6 | 72.9 | |
| Third type | 6 | 67.9 | 72.5 | 66.5 | 66.4 |
| 7 | 70.0 | 67.9 | 65.8 | 65.9 | |
| Fourth type | 8 | 66.9 | 67.6 | 68.6 | 67.5 |
| 9 | 69.9 | 69.8 | 69.7 | 70.2 | |
| 10 | 73.1 | 67.8 | 74.2 | 67.5 | |
| / | Mobile phone | 68.2 | 69.8 | 66.9 | 62.1 |
Differences in sound source identification between no speakers, samples, and electronic speaker (white noise).
| Sound Source Type | No Speakers | Electronic Speaker | Samples of 1 to 10 | F * | df1;df2 | ||||
|---|---|---|---|---|---|---|---|---|---|
| Mean | SD * | Mean | SD * | Mean | SD * | ||||
| Mechanical voice | 2.77 | 1.04 | 3.63 | 0.85 | 3.36 | 0.97 | 2.475 | 11;348 | 0.005 |
| Artificial voice | 2.33 | 0.80 | 2.83 | 0.79 | 3.24 | 0.95 | 3.756 | 11;348 | 0.000 |
| Natural sound | 4.40 | 0.97 | 2.40 | 1.19 | 2.13 | 1.23 | 10.651 | 11;348 | 0.000 |
* SD, standard deviation; F, Brown–Forsythe ANOVA; fd, freedom degree; p, probability value.
Differences in sound source identification between no speakers, samples, and electronic speaker (popular song).
| Sound Source Type | No Speakers | Electronic Speaker | Samples of 1 to 10 | F * | df1;df2 | ||||
|---|---|---|---|---|---|---|---|---|---|
| Mean | SD * | Mean | SD * | Mean | SD * | ||||
| Mechanical voice | 2.77 | 1.04 | 3.70 | 0.88 | 3.83 | 0.90 | 3.824 | 11;348 | 0.000 |
| Artificial voice | 2.33 | 0.80 | 3.20 | 0.89 | 3.28 | 0.91 | 3.417 | 11;348 | 0.000 |
| Natural sound | 4.40 | 0.97 | 4.53 | 0.86 | 4.45 | 1.10 | 0.167 | 11;348 | 0.999 |
* SD, standard deviation; F, Brown–Forsythe ANOVA; fd, freedom degree; p, probability value.
Differences between 12 emotional perceptions under different sound conditions (white noise).
| Emotional Category | No Speakers | Electronic Speaker | Samples of 1 to 10 | F * | df1;df2 | ||||
|---|---|---|---|---|---|---|---|---|---|
| Mean | SD * | Mean | SD * | Mean | SD * | ||||
| Pleasant | 2.87 | 0.63 | 3.73 | 0.83 | 3.88 | 0.74 | 5.500 | 11;348 | 0.000 |
| Calm | 2.80 | 1.03 | 3.37 | 0.89 | 3.87 | 0.83 | 5.390 | 11;348 | 0.000 |
| Relaxed | 3.00 | 0.91 | 3.87 | 0.82 | 4.07 | 0.74 | 6.115 | 11;348 | 0.000 |
| Lively | 2.50 | 1.04 | 3.10 | 0.92 | 3.50 | 0.87 | 4.946 | 11;348 | 0.000 |
| Free | 2.97 | 0.89 | 3.57 | 0.77 | 3.95 | 0.69 | 6.695 | 11;348 | 0.000 |
| Familiar | 3.03 | 1.07 | 3.43 | 1.01 | 3.72 | 0.81 | 3.290 | 11;348 | 0.000 |
| Annoyance | 3.00 | 0.83 | 2.23 | 0.86 | 2.10 | 0.77 | 4.565 | 11;348 | 0.000 |
| Dull | 3.47 | 0.97 | 2.67 | 0.84 | 2.25 | 0.87 | 6.653 | 11;348 | 0.000 |
| Stress | 2.73 | 0.98 | 2.07 | 0.94 | 1.79 | 0.75 | 4.750 | 11;348 | 0.000 |
| Monotone | 3.63 | 1.10 | 3.00 | 0.95 | 2.56 | 0.91 | 4.347 | 11;348 | 0.000 |
| Vapid | 3.63 | 1.10 | 2.67 | 0.66 | 2.35 | 0.84 | 7.353 | 11;348 | 0.000 |
| Strange | 2.97 | 1.13 | 2.43 | 0.86 | 2.16 | 0.81 | 3.066 | 11;348 | 0.001 |
* SD, standard deviation; F, Brown–Forsythe ANOVA; fd, freedom degree; p, probability value.
Differences between 12 emotional perceptions under different sound conditions (popular song).
| Emotional Category | No Speakers | Electronic Speaker | Samples of 1 to 10 | F * | df1;df2 | ||||
|---|---|---|---|---|---|---|---|---|---|
| Mean | SD * | Mean | SD * | Mean | SD* | ||||
| Pleasant | 2.87 | 0.63 | 4.13 | 0.63 | 4.10 | 0.71 | 9.166 | 11;348 | 0.000 |
| Calm | 2.80 | 1.03 | 3.10 | 0.80 | 3.28 | 0.94 | 1.860 | 11;348 | 0.044 |
| Relaxed | 3.00 | 0.91 | 4.07 | 0.74 | 3.89 | 0.83 | 3.938 | 11;348 | 0.000 |
| Lively | 2.50 | 1.04 | 4.10 | 0.80 | 3.50 | 0.75 | 11.679 | 11;348 | 0.000 |
| Free | 2.97 | 0.89 | 3.60 | 0.86 | 3.82 | 0.80 | 3.635 | 11;348 | 0.000 |
| Familiar | 3.03 | 1.07 | 3.43 | 1.01 | 3.58 | 0.88 | 1.756 | 11;348 | 0.060 |
| Annoyance | 3.00 | 0.83 | 2.00 | 0.74 | 2.12 | 0.78 | 4.255 | 11;348 | 0.000 |
| Dull | 3.47 | 0.97 | 2.13 | 0.86 | 2.09 | 0.84 | 7.549 | 11;348 | 0.000 |
| Stress | 2.73 | 0.98 | 1.70 | 0.79 | 1.89 | 0.82 | 3.294 | 11;348 | 0.000 |
| Monotone | 3.63 | 1.10 | 2.10 | 0.89 | 2.25 | 0.84 | 6.930 | 11;348 | 0.000 |
| Vapid | 3.63 | 1.10 | 2.10 | 1.00 | 2.17 | 0.87 | 7.253 | 11;348 | 0.000 |
| Strange | 2.97 | 1.13 | 2.27 | 0.74 | 2.19 | 0.76 | 2.547 | 11;348 | 0.004 |
* SD, standard deviation; F, Brown–Forsythe ANOVA; fd, freedom degree; p, probability value.
Figure 5Differences in emotion perception (white noise). Difference 1: average difference in emotion perception between sample and no speakers; difference 2: average difference in emotion perception between sample and electronic speaker.
Figure 6Differences in emotion perception (popular song). Difference 1: average difference in emotion perception between sample and no speakers; difference 2: average difference in emotion perception between sample and electronic speaker.
Comprehensive evaluation of soundscape quality.
| Emotional Category | No Speakers | Electronic Speaker | Samples of 1 to 10 | F * | df1;df2 | ||||
|---|---|---|---|---|---|---|---|---|---|
| Mean | SD * | Mean | SD * | Mean | SD * | ||||
| White noise | 2.23 | 0.63 | 3.33 | 0.55 | 3.63 | 0.62 | 14.667 | 11;348 | 0.000 |
| Popular song | 2.23 | 0.63 | 3.73 | 0.58 | 4.03 | 0.62 | 15.809 | 11;348 | 0.000 |
* SD, standard deviation; F, Brown–Forsythe ANOVA; fd, freedom degree; p, probability value.
Differences in positive emotion perception among samples.
| Emotional Category | Pleasant | Calm | Relaxed | Lively | Free | Familiar | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Mean | SD* | Mean | SD * | Mean | SD * | Mean | SD * | Mean | SD * | Mean | SD * | |
| 1 | 4.23 | 0.70 | 3.60 | 1.08 | 4.25 | 0.75 | 4.07 | 0.78 | 4.05 | 0.62 | 3.63 | 0.84 |
| 2 | 4.20 | 0.68 | 3.60 | 1.09 | 4.08 | 0.81 | 4.03 | 0.78 | 4.03 | 0.84 | 3.58 | 0.85 |
| 3 | 3.97 | 0.71 | 3.47 | 0.98 | 4.00 | 0.88 | 3.63 | 0.84 | 3.95 | 0.85 | 3.92 | 0.85 |
| 4 | 3.77 | 0.70 | 3.38 | 0.98 | 3.75 | 0.84 | 3.47 | 0.89 | 3.62 | 0.76 | 3.43 | 0.81 |
| 5 | 4.00 | 0.69 | 3.60 | 0.96 | 4.02 | 0.65 | 3.60 | 0.85 | 3.72 | 0.72 | 3.62 | 0.83 |
| 6 | 3.93 | 0.78 | 3.67 | 1.00 | 4.00 | 0.80 | 3.78 | 0.90 | 3.93 | 0.80 | 3.57 | 1.02 |
| 7 | 3.90 | 0.75 | 3.55 | 0.87 | 3.87 | 0.83 | 3.70 | 0.87 | 3.80 | 0.66 | 3.52 | 0.87 |
| 8 | 3.92 | 0.72 | 3.55 | 0.79 | 3.83 | 0.76 | 3.68 | 0.91 | 3.78 | 0.78 | 3.60 | 0.76 |
| 9 | 4.00 | 0.78 | 3.67 | 0.80 | 3.92 | 0.77 | 3.75 | 0.82 | 4.00 | 0.66 | 3.78 | 0.76 |
| 10 | 3.95 | 0.72 | 3.65 | 0.76 | 4.08 | 0.77 | 3.90 | 0.78 | 3.97 | 0.66 | 3.83 | 0.79 |
* SD, standard deviation; F, Brown–Forsythe ANOVA; fd, freedom degree; p, probability value.
Differences in negative emotion perception among samples.
| Emotional Category | Annoyance | Dull | Stress | Monotone | Vapid | Strange | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Mean | SD * | Mean | SD * | Mean | SD * | Mean | SD * | Mean | SD * | Mean | SD * | |
| 1 | 1.80 | 0.68 | 1.88 | 0.72 | 1.73 | 0.78 | 2.20 | 0.84 | 1.92 | 0.77 | 2.07 | 0.88 |
| 2 | 2.03 | 0.76 | 1.97 | 0.80 | 1.77 | 0.89 | 2.28 | 0.80 | 2.15 | 0.92 | 2.13 | 0.85 |
| 3 | 2.17 | 0.91 | 2.22 | 0.94 | 1.90 | 0.84 | 2.45 | 0.93 | 2.37 | 0.90 | 2.22 | 0.78 |
| 4 | 2.25 | 0.80 | 2.53 | 0.93 | 2.07 | 0.80 | 2.60 | 0.89 | 2.43 | 0.87 | 2.20 | 0.76 |
| 5 | 2.10 | 0.75 | 2.15 | 0.86 | 1.80 | 0.82 | 2.47 | 1.00 | 2.32 | 0.97 | 2.18 | 0.87 |
| 6 | 2.30 | 0.74 | 2.22 | 0.99 | 1.98 | 0.81 | 2..37 | 0.97 | 2.25 | 0.91 | 2.23 | 0.83 |
| 7 | 2.12 | 0.74 | 2.28 | 0.87 | 1.78 | 0.76 | 2.47 | 0.87 | 2.43 | 0.85 | 2.27 | 0.80 |
| 8 | 2.08 | 0.70 | 2.15 | 0.71 | 1.73 | 0.73 | 2.40 | 0.85 | 2.30 | 0.74 | 2.15 | 0.63 |
| 9 | 2.05 | 0.70 | 2.13 | 0.85 | 1.77 | 0.70 | 2.40 | 0.87 | 2.25 | 0.77 | 2.18 | 0.75 |
| 10 | 2.20 | 0.86 | 2.13 | 0.77 | 1.87 | 0.72 | 2.42 | 0.85 | 2.20 | 0.84 | 2.10 | 0.71 |
* SD, standard deviation; F, Brown–Forsythe ANOVA; fd, freedom degree; p, probability value.
Differences in soundscape quality assessment of 10 samples.
| Sample | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
|---|---|---|---|---|---|---|---|---|---|---|
| Mean | 4.03 | 3.82 | 3.52 | 3.38 | 3.60 | 3.77 | 3.57 | 3.57 | 3.73 | 3.83 |
| SD | 0.64 | 0.65 | 0.70 | 0.72 | 0.62 | 0.72 | 0.72 | 0.59 | 0.58 | 0.64 |
Average score of appearance evaluation of 10 samples (10-point system).
| Sample | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
|---|---|---|---|---|---|---|---|---|---|---|
| Mean | 7.67 | 7.07 | 5.97 | 6.23 | 6.90 | 6.73 | 6.53 | 7.23 | 7.30 | 6.57 |
| SD | 1.52 | 1.57 | 1.43 | 1.83 | 1.35 | 0.91 | 1.47 | 1.07 | 1.37 | 1.43 |