• Title/Summary/Keyword: 음향학적 평가

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Investigation of Demersal Fisheries Resources of the East China Sea - 2 . Hydroacoustic - Bottom Trawl Survey , November 1989 - (동지나해 저서어류의 자원조사 연구 - 2 . 저서어류자원의 음향학적 조사 ( 1989년 ) -)

  • 박중희
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.26 no.2
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    • pp.143-150
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    • 1990
  • A cooperative Korea-Japan investigation for the demersal fisheries resources of the East China Sea was carried out by using the training ship Oshoro Maru belong to Hokkaido University Japan, during 5-12 November, 1989. The research vessel sampled 24 stations with demersal trawls on the East China Sea continental shelf, and 96 nautical miles of track line were surveyed hydroacoustically. The echo sounder used during the survey was of a scientific type having echo integration capabilities and the computer system was programmed to obtain echo integration data for each depth stratum between the transducer and the bottom. The target strength of fish school(TS per 1kg) was estimated from the relationship between mean volume backscattering strength and catches caught by the demersal trawls. The results obtained can be summarized as follows: 1. Approximately 96 species were identified from survey catches. 2. The mean volume backscattering strength for the layer occupied by bottom trawls at 25 and 100 KHz were-63.9 dB and -67.3 dB, respectively. Then the average catch per unit time of each trawl haul was 58.8 kg/hour. 3. The mean volume backscattering strength for the entire layer between the transducer and the bottom at 25 and 100KHz were -61.9 dB and -67.0 dB, respectively. 4. The mean fish school target strength per unit weight(TS/kg) at 25 and 100 KHz were -23.6 dB/kg and -26.6 dB/kg, respectively.

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Korean Phoneme Recognition Using Self-Organizing Feature Map (SOFM 신경회로망을 이용한 한국어 음소 인식)

  • Jeon, Yong-Koo;Yang, Jin-Woo;Kim, Soon-Hyob
    • The Journal of the Acoustical Society of Korea
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    • v.14 no.2
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    • pp.101-112
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    • 1995
  • In order to construct a feature map-based phoneme classification system for speech recognition, two procedures are usually required. One is clustering and the other is labeling. In this paper, we present a phoneme classification system based on the Kohonen's Self-Organizing Feature Map (SOFM) for clusterer and labeler. It is known that the SOFM performs self-organizing process by which optimal local topographical mapping of the signal space and yields a reasonably high accuracy in recognition tasks. Consequently, SOFM can effectively be applied to the recognition of phonemes. Besides to improve the performance of the phoneme classification system, we propose the learning algorithm combined with the classical K-mans clustering algorithm in fine-tuning stage. In order to evaluate the performance of the proposed phoneme classification algorithm, we first use totaly 43 phonemes which construct six intra-class feature maps for six different phoneme classes. From the speaker-dependent phoneme classification tests using these six feature maps, we obtain recognition rate of $87.2\%$ and confirm that the proposed algorithm is an efficient method for improvement of recognition performance and convergence speed.

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A Development of Telephone for the Hearing Impaired to Improve Listening Ability of Telephone Speech (난청인의 통화 청취도 향상을 위한 전화기 개발)

  • 이상민;송철규;이영묵;김원기
    • Journal of Biomedical Engineering Research
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    • v.18 no.4
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    • pp.457-466
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    • 1997
  • We developed a new hearing aid telephone which helps the hearing impaired person to improve the listening ability of telephone speech. Recently, the hearing impaired person and the elderly who has hearing loss have been continuously increased and their desire for participating society as a producer has been increased also. So they strong1y want the hearing aid devices which make compensation fortheir handicap. The hearing aid telephone is one of the basic aid devices that helps the hearing impaired to communicate well with other poeple and to acquire easily useful information through the phone. We analyze the hearing ability of the hearing impaired, design the new model of the hearing aid telephone and test the telephone in three fields-electrical, word perception, user test. Our new tolephone has lour band pass filter channels and the center frequencies of these filters are 500, 1000, 2000, 3000Hz which are considered psychoacoustic factors and telephone line characteristics. The hearing impaired can adjust the total gain characteristics of receiving sound to his hearing ability by setting four volumes in the telelphone. This procedure is called fitting which is a very important factor for the hearing impaired to take meaning of speech. The total gain of this telephone is over 20dB from 250Hz to 3200Hz range. From the results of the tests we certify that our new model is better for the hearing impaired to understand the meaning or telephone speech than the old general models. The next step of developing the hearing aid telephone is to study about compressing sidetone and noise, dividing frequency bands, selecting hearing aid pattern and compensating psychoacoustic loudness. we expect that the advanced hearing aid telephone can be developed by the research about speech perception characteristics of the hearing impaired in engineering and clinical side.

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Therapeutic Singing on Speech Production Parameters in Head and Neck Cancer Patients: Case Studies (치료적 노래부르기를 통한 두경부암 환자의 말산출 기능 향상 사례)

  • Kim, Ju Hee;Kim, Soo Ji
    • 재활복지
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    • v.22 no.3
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    • pp.189-208
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    • 2018
  • This case study investigated the changes in speech intelligibility of patients with head and neck cancers who participated in a therapeutic singing-based intervention. Three patients received a total of twelve 30-minute individual sessions. The intervention consisted of three steps: movements for relaxing breathing muscles, vocalization for increasing the range of articulatory movements, and therapeutic singing. In order to examine the changes in speech intelligibility, the voice quality parameters, diadochokinesis (DDK) and the quadrangle vowel space area (VSA) were measured at pre- and posttest. The recording of what each patient read a written paragraph, which were transcribed by blinded assessors, were also analyzed. The results demonstrated that all of the patients showed positive changes in the voice quality, the rate of repetitive syllable production measured by DDK, and the articulatory working space measured by VSA. Along with these measured changes, increases in positive mood and rehabilitation motivation reported by the patients support that the therapeutic singing-based intervention could induce meaningful changes in terms of speech intelligibility from patients with head and neck cancers. Given that this study was conducted with a small sample size, suggestions for further investigation on the effects of the intervention were also presented.

A comparative study on keypoint detection for developmental dysplasia of hip diagnosis using deep learning models in X-ray and ultrasound images (X-ray 및 초음파 영상을 활용한 고관절 이형성증 진단을 위한 특징점 검출 딥러닝 모델 비교 연구)

  • Sung-Hyun Kim;Kyungsu Lee;Si-Wook Lee;Jin Ho Chang;Jae Youn Hwang;Jihun Kim
    • The Journal of the Acoustical Society of Korea
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    • v.42 no.5
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    • pp.460-468
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    • 2023
  • Developmental Dysplasia of the Hip (DDH) is a pathological condition commonly occurring during the growth phase of infants. It acts as one of the factors that can disrupt an infant's growth and trigger potential complications. Therefore, it is critically important to detect and treat this condition early. The traditional diagnostic methods for DDH involve palpation techniques and diagnosis methods based on the detection of keypoints in the hip joint using X-ray or ultrasound imaging. However, there exist limitations in objectivity and productivity during keypoint detection in the hip joint. This study proposes a deep learning model-based keypoint detection method using X-ray and ultrasound imaging and analyzes the performance of keypoint detection using various deep learning models. Additionally, the study introduces and evaluates various data augmentation techniques to compensate the lack of medical data. This research demonstrated the highest keypoint detection performance when applying the residual network 152 (ResNet152) model with simple & complex augmentation techniques, with average Object Keypoint Similarity (OKS) of approximately 95.33 % and 81.21 % in X-ray and ultrasound images, respectively. These results demonstrate that the application of deep learning models to ultrasound and X-ray images to detect the keypoints in the hip joint could enhance the objectivity and productivity in DDH diagnosis.

Comparison of prosodic characteristics by question type in left- and right-hemisphere-injured stroke patients (좌반구 손상과 우반구 손상 뇌졸중 환자의 의문문 유형에 따른 운율 특성 비교)

  • Yu, Youngmi;Seong, Cheoljae
    • Phonetics and Speech Sciences
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    • v.13 no.3
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    • pp.1-13
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    • 2021
  • This study examined the characteristics of linguistic prosody in terms of cerebral lateralization in three groups of 9 healthy speakers and 14 speakers with a history of stroke (7 with left hemisphere damage (LHD), 7 with right hemisphere damage (RHD)). Specifically, prosodic characteristics related to speech rate, duration, pitch, and intensity were examined in three types of interrogative sentences (wh-questions, yes-no questions, alternative questions) with auditory perceptual evaluation. As a result, the statistically significant key variables showed flaws in production of the linguistic prosody in the speakers with LHD. The statistically significant variables were more insufficiently produced for wh-questions than for yes-no and alternative questions. This trend was particularly noticeable in variables related to pitch and speech rate. This result suggests that when Korean speakers process linguistic prosody, such as that of lexico-semantic and syntactic information in interrogative sentences, the left hemisphere seems to be superior to the right hemisphere.

Fish Stock Assessment by Hydroacoustic Methods and its Applications - I - Estimation of Fish School Target Strength - (음향에 의한 어족생물의 자원조사 연구 - I - 어군반사강도의 추정 -)

  • Lee, Dae-Jae;Shin, Hyeong-Il;Shin, Hyong-Ho
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.31 no.2
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    • pp.142-152
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    • 1995
  • The combined bottom trawl and hydroacoustic survey was conducted by using the training ship Oshoro Maru belong to Hokkaido University in November 1989-1992 and the training ship Nagasaki Maru belong to Nagasaki University in April 1994 in the East China Sea, respectively. The aim of the investigations was to collect the target strength data of fish school in relation to the biomass estimation of fish in the survey area. The hydroacoustic survey was performed by using the scientific echo sounder system operating at three frequencies of 25, 50 and 100kHz with a microcomputer-based echo integrator. Fish samples were collected by bottom trawling and during the trawl surveys, the openings of otter board and net mouth were measured. The target strength of fish school was estimated from the relationship between the volume back scattering strength for the depth strata of bottom trawling and the weight per unit volume of trawl catches. A portion of the trawl catches preserved in frozon condition on board, the target strength measurements for the defrosted samples of ten species were conducted in the laboratory tank, and the relationship between target strength and fish weight was examined. In order to investigate the effect of swimbladder on target strength, the volume of the swimbladder of white croaker, Argyrosomus argentatus, sampled by bottom trawling was measured by directly removing the gas in the swimbladder with a syringe on board. The results obtained can be summarized as follows: 1.The relationship between the mean volume back scattering strength (, dB) for the depth strata of trawl hauls and the weight(C, $kg/\textrm{m}^3$) per unit volume of trawl catches were expressed by the following equations : 25kHz : = - 29.8+10Log(C) 50kHz : = - 32.4+10Log(C) 100kHz : = - 31.7+10Log(C) The mean target strength estimates for three frequencies of 25, 50 and 100 kHz derived from these equations were -29.8dB/kg, -32.4dB/kg and -31.7dB/kg, respectively. 2. The relationship between target strength and body weight for the fish samples of ten species collected by trawl surveys were expressed by the following equations : 25kHz : TS = - 34.0+10Log($W^{\frac{2}{3}}$) 100kHz : TS = - 37.8+10Log($W^{\frac{2}{3}}$) The mean target strength estimates for two frequencies of 25 and 100 kHz derived from these equations were -34.0dB/kg, -37.8dB/kg, respectively. 3. The representative target strength values for demersal fish populations of the East China Sea at two frequencies of 25 and 100 kHz were estimated to be -31.4dB/kg, -33.8dB/kg, respectively. 4. The ratio of the equivalent radius of swimbladder to body length of white croaker was 0.089 and the volume of swimbladder was estimated to be approximately 10% of total body volume.

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