• Journal of Korea Entertainment Industry Association
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• v.13 no.2
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• pp.93-100
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• 2019

Dynamic Compressors in vocal recordings of modern pop music are essential equipment. Dynamic compressors are applied not only to the mix for listening to music but also to the monitor for the singer to listen to his voice along with the accompaniment while the singer is recording. This study is an experimental study on the effects of a dynamic compressor applied to a monitor environment on the vocal performance of a singer. 10 participating singers participated in the blind test to test how the vocals heard through the monitor would be affected by the 1:1, 2:1 and 4:1 compression ratio. Experimental results show that the higher the compression ratio applied to the monitor, the bigger the song, the brighter the tone, but the pitch becomes finer inaccuracy on the bigger dynamic part of the song. In post-interviews with blinds, it was found that singers generally preferred to hear compressed sound through a compressor on the monitor. Since the music used in the experiment was a ballad with a wide dynamic range, it could not be generalized to all kind of music recordings, but it could provide important implications for the monitoring of recording sites. In addition, We hope that the cognitive science approach to recording technology will be added based on this paper which has been studied through empirical studies on the effect of the monitor environment on the singing voice.

• Proceedings of the Korean Information Science Society Conference
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• 2003.04a
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• pp.467-469
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• 2003

본 논문은 TV, 라디오 등 대중 매체를 통해서 전파되는 광고방송을 실시간으로 모니터링 하기 위한 워터마킹 기술을 제안한다. TV나 라디오를 통해서 방송되는 모든 광고에 대해서 광고주는 자신의 광고가 적정한 시간에 방송되었는가를 확인하기를 원한다. 기존에는 이를 확인하기 위해서 많은 사람들이 녹음된 방송을 직접 보면서 수동으로 처리를 해왔다. 그러나, 본 논문에서 제안하는 광고방송 모니터링 시스템을 구축하게 되면 기존에 수작업으로 처리되던 모니터링을 자동화할 수 있게 됨으로써 많은 시간과 인력을 줄일 수 있다. 이를 위해서 본 논문에서는 광고방송 모니터링 시스템의 전체 구조와 이를 실현화하기 위해서 필요한 워터마킹 기술 사양 및 워터마킹 기술을 소개하고자 한다. 소개 과정에서 모든 매체를 다룰 수가 없기 때문에 라디오 방송에 대한 모니터링으로 제한하여 설명한다.

• Korean Journal of Environment and Ecology
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• v.32 no.1
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• pp.39-46
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• 2018

Breeding bird surveys provide the reference information for understanding bird community structure and function in the ecosystem and conserving biodiversity. Recent rapid change of biodiversity due to climate change and other factors has made it necessary to utilize acoustic sensors for accuracy and spatial expansion of forest bird survey data and for time-series monitoring of forest birds. The objective of this study is to investigate the possibility of using acoustic recording sensor to evaluate the diversity of forest birds at breeding season by comparing and analyzing the recorded data of bird songs and field bird survey data. We conducted the site survey and recording in 186 points in 48 areas of 4 regions of Gombaeryeong and Jochimryeong around Jeombongsan Mountain and Jugryeong and Gochiryeong around Sobaeksan Mountain from May 2nd to 16th in 2013. The analysis of the correlation between the recording result and Bird Community Index based on the field survey showed that the number of bird species, population, and the number of bird songs by recording was significantly correlated to the number of species and population by field survey. Moreover, the number of bird species and the number of bird songs by recording showed a significant correlation to species diversity and species richness but no or low significant correlation to species evenness by the field study (observation and listing in parallel). As a result, it was possible to check species composition and species diversity of bird communities by analyzing acoustic recording data on the field. The acoustic recordings of bird songs in the breeding period were more reliable than the non-breeding period in the correlation of recording result and species diversity and for utilization.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.230-232
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• 2021

As the ratio of double-income households and parental leave use increase, there is an increasing demand for products that help when raising children alone. In particular, there is a lot of demand for baby beds that help raise children without difficulty even by themselves. Therefore, in this paper, we propose a real-time monitoring of a smart crib using a sound sensor. The proposed bed uses a sound sensor to detect the child's crying and condition, and the measured sensor output value can be checked with a mobile application. When the sound sensor output value is more than a certain value, a voice file such as a lullaby recorded with the voice of the parents is played, and if the sensor output value is less than a certain value, the playing voice file is stopped. If the sensor output value continues to exist after a certain period of time, a pop-up notification is sent to the mobile application. This allows the child to quickly calm down with a sense of stability and comfort through the recorded voices of the parents, and the parents can remotely monitor the child's condition in real time.

• 한국IT서비스학회:학술대회논문집
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• 2009.05a
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• pp.365-368
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• 2009

고속 인터넷 망 구축과 멀티미디어 통신 수요의 증가에 따라 VoIP는 기존의 PSTN 망의 대체 혹은 확장 기술로서 지속적으로 검증되어 왔다. 음성 데이터 처리 규약들 중 SIP는 다른 규약에 비해 신호 처리 단계가 간단하기 때문에 이를 기반으로 RTP를 활용하여 음성 통신 시스템을 구축하는 사례가 늘어나고 있다. 그러나 RTP의 특성상 패킷을 처리할 때마다 복원 과정이 필요하며, 다중 세션으로 통신이 발생할 경우 전체 패킷들의 관리가 복잡해지므로 이들 간에 혼선 없이 데이터를 처리 및 유지할 수 있는 방법론이 요구된다. 본 논문에서는 SIP 기반의 IP 전화를 통해서 고객과 상담원 간의 통화 이벤트가 발생하는 일반 콜센터 환경에서 RTP 음성 데이터를 처리하는 다중 세션 어플리케이션의 구축 사례를 제시한다. 구현한 시스템은 IP 전화에서 발생하는 통화 내역을 통합 스위치 서버에서 포트 미러링하여 녹취 및 녹음 서버로 전송하며, 전송된 패킷 정보들의 세션이 유지되고 있는 동안 음성 데이터를 실시간으로 모니터링한다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.9
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• pp.5763-5768
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• 2014

Maintaining a voice color is important when compounding both the normal voice because an emotion is not expressed with various emotional voices in a single synthesizer. When a synthesizer is developed using the recording data of too many expressed emotions, a voice color cannot be maintained and each synthetic speech is can be heard like the voice of different speakers. In this paper, the speech data was recorded and the change in the voice color was analyzed to develop an emotional HMM-based speech synthesizer. To realize a speech synthesizer, a voice was recorded, and a database was built. On the other hand, a recording process is very important, particularly when realizing an emotional speech synthesizer. Monitoring is needed because it is quite difficult to define emotion and maintain a particular level. In the realized synthesizer, a normal voice and three emotional voice (Happiness, Sadness, Anger) were used, and each emotional voice consists of two levels, High/Low. To analyze the voice color of the normal voice and emotional voice, the average spectrum, which was the measured accumulated spectrum of vowels, was used and the F1(first formant) calculated by the average spectrum was compared. The voice similarity of Low-level emotional data was higher than High-level emotional data, and the proposed method can be monitored by the change in voice similarity.

• Phonetics and Speech Sciences
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• v.12 no.1
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• pp.75-83
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• 2020

The purpose of this study was to examine how a singing program using self-voice monitoring for children with cochlear implants (CI) influences on the intonation and the accuracy of pitch production. To verify and estimate the effectiveness, a program was conducted with participants of 7 prelingual CI users, whose aged between 4 years and 7 years. The program adopted three stages from the self-voice monitoring: Listen, Explore, and Reproduce (LER stage). All participants received 8 singing sessions over 8 weeks, including pre-test, intervention, and post-test. For the pre and post-test, participants' singing of an excerpt of a song "happy birthday" and speaking three assertive sentences and three interrogative sentences were recorded and analyzed in terms of the intonation slopes at the end of the sentences and the melodic contour. From the sentence speeches, we found that the intonation slopes of the interrogative sentences significantly improved as they showed similar patterns with that of the average normal hearing group. Also, in regard to singing, we observed that the melody contour had progressed, as well as the range of pitch production had extended. The positive result from the intervention indicates that the singing program was effective for children with CI to develop the intonation skill and accuracy of pitch production.

• Korean Journal of Remote Sensing
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• v.39 no.3
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• pp.297-309
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• 2023

The degradation of coastal ecosystems and fishery environments is accelerating due to the recent phenomenon of invertebrate grazers. To effectively monitor and implement preventive measures for this phenomenon, the adoption of remote sensing-based monitoring technology for extensive maritime areas is imperative. In this study, we compared and analyzed the robustness of deep learning-based object detection modelsfor detecting and monitoring invertebrate grazersfrom underwater videos. We constructed an image dataset targeting seven representative species of invertebrate grazers in the coastal waters of South Korea and trained deep learning-based object detection models, You Only Look Once (YOLO)v7 and YOLOv8, using this dataset. We evaluated the detection performance and speed of a total of six YOLO models (YOLOv7, YOLOv7x, YOLOv8s, YOLOv8m, YOLOv8l, YOLOv8x) and conducted robustness evaluations considering various image distortions that may occur during underwater filming. The evaluation results showed that the YOLOv8 models demonstrated higher detection speed (approximately 71 to 141 FPS [frame per second]) compared to the number of parameters. In terms of detection performance, the YOLOv8 models (mean average precision [mAP] 0.848 to 0.882) exhibited better performance than the YOLOv7 models (mAP 0.847 to 0.850). Regarding model robustness, it was observed that the YOLOv7 models were more robust to shape distortions, while the YOLOv8 models were relatively more robust to color distortions. Therefore, considering that shape distortions occur less frequently in underwater video recordings while color distortions are more frequent in coastal areas, it can be concluded that utilizing YOLOv8 models is a valid choice for invertebrate grazer detection and monitoring in coastal waters.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.47 no.5
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• pp.81-88
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• 2010

In this paper, we proposed an automatic music/non-music signal discrimination system from broadcasting audio signal as a preliminary study of building a sound source monitoring system in real broadcasting environment. By reflecting human speech articulation characteristics, we used three simple time-domain features such as energy standard deviation, log energy standard deviation and log energy mean. Based on the experimental threshold values of each feature, we developed a rule-based algorithm to classify music portion of the input audio signal. For the verification of the proposed algorithm, actual FM broadcasting signal was recorded for 24 hours and used as source input audio signal. From the experimental results, the proposed system can effectively recognize music section with the accuracy of 96% and non-music section with that of 87%, where the performance is good enough to be used as a pre-process module for the a sound source monitoring system.

• Journal of the Korean Society of Marine Environment & Safety
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• v.25 no.2
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• pp.212-219
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• 2019

This study was conducted to investigate marine algal community characteristics and the status of barren ground in the summer at study sites on Jeju Island, Korea. Sampling was carried out from July to September 2017 using a qualitative and quantitative survey (including coverage of non-geniculated coralline algae and density of grazer) by scuba diving. A total of 121 species were identified, including 11 (9.1 %) green algae, 24 (19.8 %) brown algae, and 86 (71.1 %) red algae. Hyeongjeseom had the greatest diversity, with 60 species, and Harye the least, with 18 species. The mean biomass at the study sites was $1,503.0g{\cdot}m^{-2}$, while the mean for the neighboring islets ($3,268.7g{\cdot}m^{-2}$) was higher than that of the main island ($914.7g{\cdot}m^{-2}$). Also, dominant species was identified: Sargassum macrocarpum at the neighboring islets, and Ecklonia cava at the main island, with differences showing not only in biomass but also species composition. In conclusion, the marine algal community status in summer at the study sites was evaluated based on the algal community characteristics (species composition, biomass, biomass ratio of kelp species), coverage of non-geniculated coralline algae, and density of grazer. As a result, both Hyeongjeseom and Marado require preservation and management to maintain their excellent marine algal communities, and other sites on the main island require the creation and/or restoration of marine algal communities. In addition, as the generation of barren ground accelerates, it is urgent not only to grasp existing monitoring research but also to identify the status of the marine algal community where it is not known at present.