• Title/Summary/Keyword: Urban Environmental Sound

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The Preference and Amenity Factors of the Environmental Sounds Suitable for Urban Public Spaces (도시 공공장소에 어울리는 환경음의 선호도 및 평가요인)

  • Jang, Gil-Soo;Kook, Chan;Kim, Sun-Woo
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.13 no.11
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    • pp.890-896
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    • 2003
  • It is said that the goal of the design of good acoustical environment is at first the reduction of undesirable sounds. and in addition the introduction of desirable sounds by which our minds are soothed. The task of creating the desirable sounds leads to the realization of a comfortable acoustic environment and the design of soundscape. It may be an important starting point of soundscape design to select suitable sounds for the target spaces. because each space has a different surrounding condition and requires a special ambient sound. This paper aims to survey preference of the environmental sounds suitable for the public spaces in urban areas such as parks. bus terminals. 35 kinds of natural sounds are. rated by 26 pairs of adjectives. The results of psycho-acoustic experiments are as follows. 1. The proper adjectives for expressing the environmental sounds are classified into 6 groups of comfort, pleasure, fullness. variety, distinctness. and naturalness. 2. Bird singing. murmuring of a stream, artificial sounds. singing of insects and animals are the affirmative rank of preference. 3. Green musics consisted of music and natural sounds are preferred to the pure natural sounds. 4. Sound level relative to background noise causes various preferences to natural sounds in public spaces.

The Preference of the Environmental Sounds Suitable for Urban Public Spaces (도시 공공장소에 어울리는 환경음의 선호도 분석)

  • Jang, Gil-Soo;Shin, Hoon;Kook, Chan
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2003.05a
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    • pp.1010-1013
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    • 2003
  • It is said that the goal of the design of good acoustical environment is at first the reduction of undesirable sounds, and in addition the introduction of desirable sounds by which our minds are soothed. The task of creating the desirable sounds leads to the realization of a comfortable acoustic environment and the design of soundscape. It may be an important starting point of soundscape design to select suitable sounds for the target spaces, because each space has a different surrounding condition and requires a special ambient sound. This paper aims to survey preference of the environmental sounds suitable for the public spaces in urban areas such as parks, bus terminals. 35 kinds of natural sounds are rated by 26 pairs of adjectives. The results of psycho-acoustic experiments are as follows. 1. The proper adjectives for expressing the environmental sounds are classified into 6 groups of comfort, pleasure, fullness, variety, distinctness, naturalness. 2. Bird singing, murmuring of a stream, artificial sounds, singing of insects and animals are the affirmative order of preference. 3. Green musics consisted of music and natural sounds are preferred to the pure natural sounds. 4. Sound level relative to background noise causes various preferences to natural sounds in public spaces.

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Convolutional neural network based traffic sound classification robust to environmental noise (합성곱 신경망 기반 환경잡음에 강인한 교통 소음 분류 모델)

  • Lee, Jaejun;Kim, Wansoo;Lee, Kyogu
    • The Journal of the Acoustical Society of Korea
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    • v.37 no.6
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    • pp.469-474
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    • 2018
  • As urban population increases, research on urban environmental noise is getting more attention. In this study, we classify the abnormal noise occurring in traffic situation by using a deep learning algorithm which shows high performance in recent environmental noise classification studies. Specifically, we classify the four classes of tire skidding sounds, car crash sounds, car horn sounds, and normal sounds using convolutional neural networks. In addition, we add three environmental noises, including rain, wind and crowd noises, to our training data so that the classification model is more robust in real traffic situation with environmental noises. Experimental results show that the proposed traffic sound classification model achieves better performance than the existing algorithms, particularly under harsh conditions with environmental noises.

Comparison of environmental sound classification performance of convolutional neural networks according to audio preprocessing methods (오디오 전처리 방법에 따른 콘벌루션 신경망의 환경음 분류 성능 비교)

  • Oh, Wongeun
    • The Journal of the Acoustical Society of Korea
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    • v.39 no.3
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    • pp.143-149
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    • 2020
  • This paper presents the effect of the feature extraction methods used in the audio preprocessing on the classification performance of the Convolutional Neural Networks (CNN). We extract mel spectrogram, log mel spectrogram, Mel Frequency Cepstral Coefficient (MFCC), and delta MFCC from the UrbanSound8K dataset, which is widely used in environmental sound classification studies. Then we scale the data to 3 distributions. Using the data, we test four CNNs, VGG16, and MobileNetV2 networks for performance assessment according to the audio features and scaling. The highest recognition rate is achieved when using the unscaled log mel spectrum as the audio features. Although this result is not appropriate for all audio recognition problems but is useful for classifying the environmental sounds included in the Urbansound8K.

Developing Sustainable Inorganic Sound-Absorbing Panel Mixtures Using Industrial Waste (산업폐기물을 활용한 무기계 흡음 패널 개발 기초 연구)

  • Cheulkyu Lee;Seongwoo Gwon
    • Journal of the Korean Recycled Construction Resources Institute
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    • v.11 no.4
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    • pp.501-508
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    • 2023
  • Addressing urban noise problems, this study develops eco-friendly, inorganic sound-absorbing panels, overcoming the limitations of traditional PMMA and cement-based panels. These conventional panels pose safety risks due to flammability and environmental concerns due to carbon emissions. Utilizing industrial waste, the research comprises two phases: initial tests for physical and performance characteristics (fluidity, density, compressive strength, sound absorption) and subsequent development of optimized panel mixtures. This approach aims to replace existing panels with sustainable, effective alternatives, significantly contributing to safer, environmentally responsible urban infrastructure. The findings of this study have implications for the sound panel market, offering novel solutions for noise control while aligning with environmental and safety standards.

Semantic Differential Analysis of the Soundscape in Urban Park

  • Song, Xiu-Hua;Cho, Tae-Dong;Piao, Yong-Ji
    • Journal of Environmental Science International
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    • v.21 no.9
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    • pp.1053-1058
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    • 2012
  • In this study, soundscape was analyzed through physical measurement and social surveys. The results showed that, soundscape components were related to functional partitions and tourist activities, at the same time influenced by ambient noise. The sound pressure levels showed daily regular changes. Semantic differential analysis showed that the evaluation of the soundscape in urban park was rather complicated. It was still possible to identify major factors including relaxation, spatiality and environment. The results provided theoretical basis for improving urban park soundscape, and called attention to this problem.

Development of Strategic Environment Assessment Model in Urban Development Plan - In case of Metropolitan Plan - (도시개발 행정계획의 전략환경평가 모델개발 - 광역도시계획에의 사례적용 -)

  • Choi, Hee-Sun;Song, Young-Il
    • Journal of Environmental Impact Assessment
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    • v.19 no.4
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    • pp.381-396
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    • 2010
  • It is essential to consider strategies, spatial planning, and reflection of sustainability for the creation of sound urban spaces. To this end, there is a need for plans that can secure better sustainability through strategic environmental assessment (SEA) of plans. This study examined the literature and available precedent to develop a SEA model for administrative plans for urban development including metropolitan plans, urban master plans and urban management plans. In the course of development of the model, environmental issues associated with the urban plans were analyzed by classifying them into ten categories, including "spatial planning," "conservation planning," "greenbelt systems," "habitats." and etc. according to their rank. Furthermore, those issues were reflected on the development of environmental evaluation indices for the plans. Overall and detailed environmental indices that can be applied to the administrative plans for urban development including metropolitan plans, urban master plans and urban management plans were devised for five stages: (1) Establishment of development goals and strategy, (2) Analysis of current status and characteristics, (3) Conceptualization of spatial structure, (4) Planning for each department, and (5) Execution and management. Sub plans are more detailed and concrete. Criteria based on the evaluation indices, when performing evaluations on plans based on each environmental assessment index in reference to experts and the literature, were used to forecast their effects, i.e. whether they had a positive, negative, or no effect or relationship, or whether their effects was uncertain. Based on the forecasts, this study then presents means to establish more improvable plans. Furthermore, by synthesis of the effects according to each index and integration of the process, plans were analyzed overall. This study reflects the characteristics of the present time period based on issues in the SEA process and techniques in upper level administrative plans being newly established, and presents them according to the stage of each plan. Furthermore, by forecasting the effect of plans by stage, this study presents proposals for improvement, and in this aspect, can be meaningful in promoting plan improvements through SEA.

A Survey on the Sound Environment for Soundscape Design in the Street around Insa-Dong (사운드스케이프 디자인을 위한 인사동 전통문화의 거리의 음환경 특성에 관한 연구)

  • Jeon, Ji-Hyeon;Jang, Gil-Soo;Kim, Sun-Woo
    • KIEAE Journal
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    • v.4 no.1
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    • pp.33-38
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    • 2004
  • There are many attempts to make more comfortable amenity in city districts and streets to provide a soundscape design. And the sound which reflects the culture and peculiarity of characterized the street must be preserved. Thus these attempts are recognized as another noise control to give the suitable environmental sound, not to reduce noise level. This study aims to analyze the behavior of the pedestrian and sound environment of the street sound, by measuring the sound level for the Insa-Dong Traditional Culture street. As the results, it is advisable to use the natural water sound dominating the district and to provide the staying spot to watch the event to be held. The results of this study could be used as fundamental data to recover the image of Insa-Dong Traditional Culture street to consider design concept of soundscape.

An Analysis of Visual Preference in Soundproofing Barriers (방음벽에 대한 시각적 선호도 분석)

  • Kim, Dae-Hyun;Joo, Shin-Ha
    • Journal of the Korean Institute of Landscape Architecture
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    • v.35 no.2 s.121
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    • pp.64-70
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    • 2007
  • The main purposes of this paper are to determine the major factors influencing visual preference in soundproofing barriers in urban places and to provide the essential information needed in the design process of soundproofing harriers. This paper consists of two phases. The first phase presents photos of the seven types of soundproofing barriers generally seen around the Daejeon area, which were taken from three places for a photo montage. The evaluation of 21 different soundproofing barriers was conducted by college students. The second phase of this paper depicts the analysis process. Firstly, the visual preferences as found from the collected data were evaluated by five semantic degrees. The evaluated data were processed by descriptive test, a correlation test and ANOVA test methods using an SPSS statistical package. 1. Currently, visual preference in soundproofing barriers is low in urban places. Therefore, it is necessary to design visually pleasing soundproofing barriers to improve the visual qualify of urban areas. 2. Soundproofing barriers of mixed wood and acrylic scored the highest among selections while those with aluminium steel scored the lowest. 3. Environmental friendly and transparent conditions should be met to allow soundproofing barriers to be visually pleasing.

Animal Sounds Classification Scheme Based on Multi-Feature Network with Mixed Datasets

  • Kim, Chung-Il;Cho, Yongjang;Jung, Seungwon;Rew, Jehyeok;Hwang, Eenjun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.8
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    • pp.3384-3398
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    • 2020
  • In recent years, as the environment has become an important issue in dealing with food, energy, and urban development, diverse environment-related applications such as environmental monitoring and ecosystem management have emerged. In such applications, automatic classification of animals using video or sound is very useful in terms of cost and convenience. So far, many works have been done for animal sounds classification using artificial intelligence techniques such as a convolutional neural network. However, most of them have dealt only with the sound of a specific class of animals such as bird sounds or insect sounds. Due to this, they are not suitable for classifying various types of animal sounds. In this paper, we propose a sound classification scheme based on a multi-feature network for classifying sounds of multiple species of animals. To do that, we first collected multiple animal sound datasets and grouped them into classes. Then, we extracted their audio features by generating mixed records and used those features for training. To evaluate the effectiveness of our scheme, we constructed an animal sound classification model and performed various experiments. We report some of the results.