• Title/Summary/Keyword: 소리 분류

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A Basic Study for the Development of Multidisciplinary Intervention Guide Map of Auditory Processing Disorders (청각처리장애의 다학문적 중재 안내도 개발을 위한 기초 연구)

  • Kim, Soo-Jin
    • Journal of Digital Convergence
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    • v.13 no.12
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    • pp.259-268
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    • 2015
  • People with auditory processing disorders(APD) do not exactly understand what they hear with normal hearing levels because of difficulties in the processing of auditory information in auditory nervous system. The purposes of this study are to investigate intervention strategies suggested by current literatures and to develop a guide map for APD intervention. The problem based intervention strategies are customized to the specific deficits of a subtype of Buffalo model and Bellis/Ferre model and general intervention strategies are recommended with compensatory strategy, auditory training, environmental modification and so on. Multidisciplinary team should determine and provide various intervention strategies to improve auditory capabilities of a child with APD intensively and persistently. APD intervention guide map is organized with four steps. It helps clinicians and teachers related with the intervention of APD find appropriate intervention strategies and process in order to reduce difficulties of a child with APD and a suspected APD.

Comparison both Physicochemical Environment and Distribution of Hydrophytes in Rivers of Downtown Gwangju Metropolitan City (광주광역시 도심 하천의 이화학적 환경과 수생식물 분포 비교연구)

  • Lim Dong Ok;Ryu Youn Mi;Hwang In-Chun
    • Korean Journal of Environmental Biology
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    • v.23 no.2 s.58
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    • pp.120-128
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    • 2005
  • This study was compared the flora and distribution of hydrophytes with physicochemical environment in the 14 sites selected in Yeongsan River through Gwangju Metropolitan city from March to October, 2003. In this survey, hydrophytes were classified 94 taxa; 35 families, 68 genera, 85 species and 9 varieties. It was compared the physicochemical characters with the hydrophytes distribution in each stream according to the index of contamination. Persicaria japonica and Rumex crispus were dominated at Youduk-Dong, the most contaminated area. Aquatic contamination sensitive floating-leaved plants and submerged plants were not identified. Hwangroung River and Yeongsan River area were a little contaminated area, appeared to good vegetation such as Phragmites japonica, Persicaria thunbergii and Miscanthus sacchariflorus. The stream of Youduk-Dong, the lower reaches of Gwangju-cheon was not grown with hydrophytes because of contamination by inflow of life sewage; therefore it is required to persevere in the townsmen's efforts for improvement of water environment.

Drone Location Tracking with Circular Microphone Array by HMM (HMM에 의한 원형 마이크로폰 어레이 적용 드론 위치 추적)

  • Jeong, HyoungChan;Lim, WonHo;Guo, Junfeng;Ahmad, Isitiaq;Chang, KyungHi
    • Journal of Advanced Navigation Technology
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    • v.24 no.5
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    • pp.393-407
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    • 2020
  • In order to reduce the threat by illegal unmanned aerial vehicles, a tracking system based on sound was implemented. There are three main points to the drone acoustic tracking method. First, it scans the space through variable beam formation to find a sound source and records the sound using a microphone array. Second, it classifies it into a hidden Markov model (HMM) to find out whether the sound source exists or not, and finally, the sound source is In the case of a drone, a sound source recorded and stored as a tracking reference signal based on an adaptive beam pattern is used. The simulation was performed in both the ideal condition without background noise and interference sound and the non-ideal condition with background noise and interference sound, and evaluated the tracking performance of illegal drones. The drone tracking system designed the criteria for determining the presence or absence of a drone according to the improvement of the search distance performance according to the microphone array performance and the degree of sound pattern matching, and reflected in the design of the speech reading circuit.

Non-Dialog Section Detection for the Descriptive Video Service Contents Authoring (화면해설방송 저작을 위한 비 대사 구간 검출)

  • Jang, Inseon;Ahn, ChungHyun;Jang, Younseon
    • Journal of Broadcast Engineering
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    • v.19 no.3
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    • pp.296-306
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    • 2014
  • This paper addresses a problem of non-dialog section detection for the DVS authoring, the goal of which is to find meaningful section from the broadcasting audio, where audio description can be inserted. The broadcasting audio involves the presence of various sounds so that it first discriminates between speech and non-speech for each audio frame. Proposed method jointly exploits the inter-channels structure and speech source characteristics of the broadcasting audio whose number of channel is stereo. Also, rule based post-processing is finally applied to detect the non-dialog section whose length is appropriate for audio description. Proposed method provides more accurate detection compared to conventional method. Experimental results on real broadcasting contents show that qualitative superiority of the proposed method.

Multi-channel input-based non-stationary noise cenceller for mobile devices (이동형 단말기를 위한 다채널 입력 기반 비정상성 잡음 제거기)

  • Jeong, Sang-Bae;Lee, Sung-Doke
    • Journal of the Korean Institute of Intelligent Systems
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    • v.17 no.7
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    • pp.945-951
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    • 2007
  • Noise cancellation is essential for the devices which use speech as an interface. In real environments, speech quality and recognition rates are degraded by the auditive noises coming near the microphone. In this paper, we propose a noise cancellation algorithm using stereo microphones basically. The advantage of the use of multiple microphones is that the direction information of the target source could be applied. The proposed noise canceller is based on the Wiener filter. To estimate the filter, noise and target speech frequency responses should be known and they are estimated by the spectral classification in the frequency domain. The performance of the proposed algorithm is compared with that of the well-known Frost algorithm and the generalized sidelobe canceller (GSC) with an adaptation mode controller (AMC). As performance measures, the perceptual evaluation of speech quality (PESQ), which is the most widely used among various objective speech quality methods, and speech recognition rates are adopted.

The Vascular Plants in Construct-Reserved Site of Ecological Forest, Jecheon-si, Chungcheongbuk-do (충청북도 제천시 생태숲 조성예정지의 관속식물상)

  • You Ju-Han
    • Korean Journal of Environment and Ecology
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    • v.19 no.1
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    • pp.31-45
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    • 2005
  • This study was carried out to investigate the vascular plants of the construct-reserved sites of ecological forests in Deokdong-ri, Baekwoon-myeon, Jecheon-si, and Chungcheongbuk-do, Korea and the period was from March to October, 2004. The results of surveying the vascular plants were recorded as 371 taxa; 83 families, 238 genera, 324 species, 44 varieties and 3 forma. There were 4 species of rare and endangered plants as designated by Korea Forest Service; Eranthis stellata, Paeonia japonica, Viola albida and Scopolia japonica. There were 9 species of Koreanendemic plants Pseudostellaria coreana, Melandryum seoulense, Clematis trichotoma, Deutzia coreana, Spiraea prunifolia for. simpliciflora, Ajuga spectabilis, Weigela subsessilis, Cirsium setidens and Saussurea nutans. Ten species of naturalized plants were observed Panicum dichotomiflorum, Rumex crispus, Amaranthus retroflexus, Lepidium apetalum, Trifolium repens, Oenothera Jamayckiana, Erigeron annuus, Erigeron canadensis, Bidens frondosa and Taraxacum officinale. In the results of analysis by floristic region, the specific plants were summarized as 52 taxa; 30 families, 47 genera, 49 species and 3 varieties.

The Study of Naturalized Plants in Ulleungdo (울릉도의 귀화식물에 관한 연구)

  • Hwang, Gyu-Jin;Park, Seong-Jun;Son, Sung-Won;Park, Seon-Joo
    • Korean Journal of Environment and Ecology
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    • v.21 no.1
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    • pp.1-12
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    • 2007
  • Nauralized plants in Ulleungdo were enlisted as 65 taxa, 21 families,49 genera,63 species and 2 varieties by field survey and flora lists of literature cited. Family Compositae covered 27.7% and Family Gramineae, Family Leguminosae and Family Polygonaceae covered 7.7% each. In this study, the nine taxa such as Rumex nipponicus, Trifolium campestre, Oxalis articulata, Anthriscus caucalis, Ipomoea purpurea, Coreopsis Ianceolata, Galinsoga parviflora, Tritonia crocosmaeflora and Festuca arundinacea are added as Nauralized plants in Ulleungdo. Annual plants ratio is 36.9% by life-form spectrum and Europe ratio is 40.0% by origin. The Urbanization Index was 22.0 and the Ratio of Naturalized has increased by flora lists of literature cited each. Ambrosia artemisiifolia var. elatior is growing in Ulleungdo by a plant cause disturbance. Spread prevention and minimization incoming of gardening plants by management plan of naturalized plants might be required. Moreover, it is needed to induce the succession for the recovery of the cut-slope using the native plants.

Study into prosodic morphological analysis in Korean and Standard Chinese partial reduplication and contrastive analysis using optimality theory (한국어와 표준 중국어 부분 중첩 의성·의태어에 대한 운율 형태론적 분석의 문제와 최적성 이론적 분석을 통한 대조 분석)

  • Chang, Jae-Woong
    • Cross-Cultural Studies
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    • v.49
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    • pp.275-301
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    • 2017
  • Based on the previous analysis by Wanghongjun(2008), this paper applies Optimality Theory (OT) to the field of partial reduplication in Korea to increase its scientific validity. Toward this end, I propose an alternative analysis of Korean partial reduplication, applied as a single process of prefixation. Reduplicated words by prefixation are divided into two types: with a heavy syllable of the stem, and another with the stem. The two types of partial reduplication are closely related by the sound features. In addition, I discussed Chinese partial reduplication from a prefixation perspective within the framework of OT and performed contrastive analysis of Korean and Standard Chinese processes of reduplication by focusing on constrained rankings. As a result, the alternative analysis showed a systematic relationship among the reduplicated words in Korean and Standard Chinese. Lastly, I explained that the coronal /t/ and liquid /l/ have a special functional hierarchy in both languages. This study can be re-explained based on the framework of OT according to a few major constraints, involving MAX-BR, MAX-IO. Their rankings show the adequacy of analysis.

Analysis on Topics in Soundscape Research based on Topic Modeling (토픽 모델링을 이용한 사운드스케이프 연구 주제어 분석)

  • Choe, Sou-Hwan
    • The Journal of the Korea Contents Association
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    • v.19 no.7
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    • pp.427-435
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    • 2019
  • Soundscape provides important resources to understand social and cultural aspects of our society, however, it is still its infancy to study on the research framework to record, conserve, categorize, and analyze soundscapes. Topic modeling is an automatic approach to discover hidden themes that are disperse in unstructured documents, thus topic modeling is robust enough to find latent topics such as research trends behind a collection of documents. The purpose of this paper is to discover topics on current soundscape research based on topic modeling, furthermore, to discuss the possibilities to design a metadata system for sound archives and to improve Soundscape Ontology which is currently developing.

Emergency vehicle priority signal system based on deep learning using acoustic data (음향 데이터를 활용한 딥러닝 기반 긴급차량 우선 신호 시스템)

  • Lee, SoYeon;Jang, Jae Won;Kim, Dae-Young
    • Journal of Platform Technology
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    • v.9 no.3
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    • pp.44-51
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    • 2021
  • In general, golden time refers to the most important time in the initial response to accidents such as saving lives or extinguishing fires. The golden time varies from disaster to disaster, but is aimed at five minutes in terms of fire and first aid. However, for the actual site, the average dispatch time for ambulances is 9 minutes and the average transfer time is 17.6 minutes, which is quite large compared to the golden time. There are various causes for this delay, but the main cause is traffic jams. In order to solve the problem, the government has established emergency car concession obligations and secured golden time to prioritize ambulances in places with the highest accident rate, but it is not a solution in rush hour when traffic is increasing rapidly. Therefore, this paper proposed a deep learning-based emergency vehicle priority signal system using collected sound data by installing sound sensors on traffic lights and conducted an experiment to classify frequency signals that differ depending on the distance of the emergency vehicle.