• The Journal of the Convergence on Culture Technology
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• v.9 no.2
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• pp.545-551
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• 2023

As digital information is readily available to everyone today, the adoption of digital evidence is increasing. However, it is virtually impossible to determine the authenticity of forgery in the case of a voice recording file that has gone through a sophisticated editing process along with the spread of various voice file editing tools. This study aims to prove that forgery, which is difficult to distinguish from the original file, is possible by using insertion, deletion, linking, and synthetic editing technologies in voice recording files. This study presents the difficulty of detecting forgery by encoding a forged voice file with the same extension as the original. In addition, it was shown that forgery detection is impossible if additional transition band deletion and secondary encoding are performed only for experiments in which features occurred. Through this, this study is expected to contribute to the establishment of more stringent evidence admissibility criteria for adopting voice recording files as digital evidence.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.807-812
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• 2022

Recently, as the number of voice recording files submitted as court evidence increases, the number of cases claiming forgery is also increasing. If the audio recording file structure and metadata, which are objective grounds, are completely forged, it is actually impossible to detect forgery of the sophisticated audio recording file. It is extremely rare for the court to reject the file structure and metadata analysis performed with the forged audio recording file. The purpose of this study is to prove that forgery of voice recording file structure and metadata is easily possible. To this end, in this study, it was introduced that forgery detection is impossible when the 'mixed paste' function, which enables sophisticated editing based on the typification of the editing method of voice recording files, is applied. Moreover, it has been proven through experiments that forgery of file structure and metadata is possible. Therefore, a stricter standard for judging the admissibility of evidence is required when the audio recording file is adopted as digital evidence. This study will not only contribute to the standard of integrity in the adoption of digital evidence by judges, but will also contribute to the method of constructing a dataset for artificial intelligence in detecting forgery of recorded files that is expected to be developed in the future.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06c
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• pp.224-226
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• 2012

IT 기술의 발전과 정보화 사회로 인해 컴퓨터 관련범죄뿐 아니라 일반 범죄에서도 증거 및 단서가 디지털정보 기기에 보관되는 경우가 발생하고 있다. 이러한 맥락에서 본 논문에서는 디지털 포렌식 기술의 하나로서 녹음 데이터로부터 녹음기기를 판별하는 효과적인 방법을 제안한다. 녹음된 데이터에서 노이즈를 추출하고, 이 노이즈의 차이점을 이용하면 효율적인 기기판별 방법이 가능해진다. 본 논문에서는 위너 필터를 통한 기기 Noise를 추출하고, MirToolBox를 이용하여 특징들을 추출한다. 추출된 특징들과 WEKA의 다중 신경망을 이용하여 학습 및 판별하였다. 판별 결과 평균 99.8%의 성능을 보였다.

• Journal of Digital Convergence
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• v.19 no.7
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• pp.209-215
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• 2021

This study is a system development for voice information protection equipment in major meetings and places requiring security. Security performance and stability were secured with information leakage prevention technology through generation of false noise and ultrasonic waves. The cutoff frequency band for blocking the leakage of voice information, which has strong straightness due to the nature of the radio wave to the recording prevention module, blocks the wideband frequency of 20~20,000Hz, and the deception jamming technology is applied to block the leakage of voice information, greatly improving the security. To solve this problem, we developed a system that blocks the recording of a portable smartphone using a battery, and made the installation of a separate device smaller and lighter so that customers do not recognize it. In addition, it is necessary to continuously study measures and countermeasures for efficiently using the output of the anti-recording speaker for long-distance recording prevention.

• Journal of Digital Forensics
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• v.13 no.4
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• pp.257-270
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• 2019

Recently, due to the popularization of smart devices such as smartphones and the like, photography and video recording audio recordings are frequently and efficiently performed. Thus the use of digital files of those types is increasing. For these digital files to be legally valid as digital evidence, the proof of origin for digital evidence was essential. Mainly, due to the characteristics of the digital audio file, it is possible to make a sophisticated forgery and falsification through the mass copying and digital editing program from the original record. In this way, it has been increasing more and more cases of manipulating digital audio files. In this paper, we propose the procedure of analyzing the file format of digital audio files and the audio signal after the analysis of various actual cases. As a result, it has confirmed that the digital audio files can be not original through traces generated during the manipulation of the digital audio file in case of the manipulated data. Moreover, it has confirmed that the proposed authentication analysis procedure may not clarify whether or not the digital audio file has been a forgery in some specific condition.

• Proceedings of the KAIS Fall Conference
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• 2011.05b
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• pp.611-614
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• 2011

디지털 기술의 발전으로 프로페셔널 음악 산업에서 가상악기로 통칭되는 샘플링 음원을 사용하는 일이 빈번해졌다. 이는 악기의 연주와 편집. 저장 그리고 재생을 컴퓨터가 대신한다는 의미이다. 이처럼 획일화된 음악 제작 현장에서 컴퓨터가 대신 할 수 없는 유일한 악기가 보컬이다. 보컬이 음악에 미치는 영향력은 거대하다. 빼어난 보컬 멜로디 라인 작곡, 음정의 정확성, 엄선된 보컬 사운드 제작은 그 곡의 성공 여부와 직결된다. 이러한 보컬의 중요성은 엔지니어에게는 많은 시간과 경험, 그리고 인내를 요구한다. 본 논문은 보컬의 정확한 이해와 분석, 그리고 녹음과 믹싱 등 전반적인 보컬 사운드 제작에 관한 연구이다.

• Proceedings of the IEEK Conference
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• 2000.09a
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• pp.955-958
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• 2000

본 논문은 음성신호를 이용해 성대의 질환이 있는 환자를 진단하고 병명을 판별하게끔 유도하는 자동 진단 시스템을 개발하기 위한 연구의 일부로, 그중 ARS를 이용하여 환자의 음성을 수집, 분석, 식별의 실험에 대한 연구이다. 본 연구 팀에서는 이미 CSL을 이용한 장애음성 데이터의 수집과 식별에 관한 연구 결과를 발표한바 있다. 하지만 선행연구에서는 방음실에서 디지털 녹음기를 이용하여 수집한 음성을 사용했기 때문에, ARS를 통하여 녹음한 음성과는 샘플링 주파수나 대역폭, 잡음성분등의 데이터의 특성이 상당한 차이가 있다. 이러한 이유로 ARS를 통하여 녹음한 음성에 보다 적합한 파라미터 분석프로그램을 작성하여 파라미터를 구하였다. 이 파라미터들은 Kay사의 MDVP를 기초로하여 작성하였고, 대부분 80%정도의 신뢰성을 가졌다. 수집한 음성의 식별은 정상음성과 양성음성의 두가지 경우로 분리하였다. 식별기법으로는 신경망을 이용하였고, 식별파라미터는 구한 파라미터중 6개의 파라미터를 선별하여 식별한 결과 약 90%정도의 식별율을 가졌다.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.482-486
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• 2009

Conventional music players offer simple replay and one way entertainment. The paper presents an algorithm to extract, within a digitally recorded music file, the temporal information of a sequence of target notes (i.e. melody). We assume to have the score (e.g. MIDI or printed score), and using this information, it becomes possible to first sequentially predict the probable location of the target notes. However, recorded music is hardly performed according to the score, especially temporally. Thus, additional analysis is carried out to hone in on the exact location of the target note from the initially predicted location. This prediction and correction process is repeated to find one note after another. This allows us to develop an interactive music player that is enacted by rhythmic interaction, and induce a new user experience, i.e. as if one is playing the music oneself.

• Journal of IKEEE
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• v.14 no.1
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• pp.47-54
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• 2010

In this study, we analyzed the reduction of noise in a noise environment using 2, 3, 4 or 5 microphones in digital hearing aids. In order to be able to use this in actual digital hearing aids, we made the experiment microphone set similar to the behind-the-ear type (BTE) and then recorded the signal accordingly, with each situation. With the recorded signals, we reduced the noise in each signal by a noise reduction algorithm using multi-microphones. As a result, in the case of By comparing the SNR (Signal to Noise Ratio) and PESQ (Perceptual Evaluation of Speech) measurements, before and after the noise reduction, the results showed that the improvement in performance was highest when three or four microphones were used. Generally, when two or more microphones were used, we found that as the number of microphones increased there was an increase in performance.

• Proceedings of the KAIS Fall Conference
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• 2012.05a
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• pp.134-136
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• 2012

본 논문은 컴퓨터에서 사용 가능한 가상 악기 제작에 관한 연구이다. 가상악기는 전통적으로 사용되고 있는 악기를 디지털로 복원하는 것에서부터 지금까지 존재하지 않았던 새로운 악기를 창조하는 것에 이르기까지 그 사용과 쓰임이 매우 다양하다. 가상악기의 등장은 전통적인 음악제작의 틀을 유지하면서 보다 쉽고 빠르게 음원을 제작하면서도 창의적인 음악의 발전을 유도하는 장점을 가지고 있다. 본 논문은 기타(Guitar)의 한 음(미, E)을 녹음하여 컴퓨터에서 여러 음정으로 자유롭게 바꾸어 사용하고, 원음과는 전혀 다른 전자 바이올린 소리로 완성해 가는 과정에 대한 연구이다.