• Title/Summary/Keyword: Audio forensic marking

Search Result 2, Processing Time 0.017 seconds

Audio Forensic Marking using Psychoacoustic Model II and MDCT (심리음향 모델 II와 MDCT를 이용한 오디오 포렌식 마킹)

  • Rhee, Kang-Hyeon
    • Journal of the Institute of Electronics Engineers of Korea CI
    • /
    • v.49 no.4
    • /
    • pp.16-22
    • /
    • 2012
  • In this paper, the forensic marking algorithm is proposed using psychoacoustic model II and MDCT for high-quality audio. The proposed forensic marking method, that inserts the user fingerprinting code of the audio content into the selected sub-band, in which audio signal energy is lower than the spectrum masking level. In the range of the one frame which has 2,048 samples for FFT of original audio signal, the audio forensic marking is processed in 3 sub-bands. According to the average attack of the fingerprinting codes, one frame's SNR is measured on 100% trace ratio of the collusion codes. When the lower strength 0.1 of the inserted fingerprinting code, SNR is 38.44dB. And in case, the added strength 0.5 of white gaussian noise, SNR is 19.09dB. As a result, it confirms that the proposed audio forensic marking algorithm is maintained the marking robustness of the fingerprinting code and the audio high-quality.

Audio Forensic Marking System for Copyright Protection of Streaming Music Service (스트리밍 음악 서비스의 저작권 보호를 위한 오디오 포렌식마킹 시스템)

  • Seo, Yongseok;Park, Jihyun;Yoo, Wonyoung
    • Journal of Digital Contents Society
    • /
    • v.15 no.3
    • /
    • pp.357-363
    • /
    • 2014
  • In this paper, we propose a new audio forensic marking system for protecting the copyright of the Internet-based music streaming services. In the proposed method, in order to guarantee the QoS of the streaming service, high speed, and generates a forensic mark inserted MP3 file. We make pre-marking process and generate a new forensic marked MP3 file, a combination of the pre-marked MP3 frame, the inserted user information. Experimental results show that the proposed method satisfactory results robustness and imperceptibility, and real-time properties. In addition, we were confirmed that the real-time embedding and detection from the streaming-based audio forensic marking system that has been implemented on the server/client is possible.