• DocumentCode
    3580594
  • Title

    Audio Masking for Watermark Embedding under Time Domain Audio Signals

  • Author

    Trivedi, Munesh Chandra ; Trivedi, Naresh Kumar

  • Author_Institution
    Dept. of Comput. Sci. & Eng., ABES Eng. Coll., Ghaziabad, India
  • fYear
    2014
  • Firstpage
    770
  • Lastpage
    775
  • Abstract
    Audio watermarking becomes buzzword in multimedia industry. The protection of ownership for audio clip is very critical issue in the field of multimedia industry. In this paper we present a novel approach for watermarking the audio signal samples by masking the audio samples to generate the key for embedding in inaudible range of frequencies in time domain of the audio signals. The secret key is generated bu taking Pseudo Sequence number generation during the mask process of audio samples. This Pseudo Sequence number is based upon the human auditory system and its perception. Finally, watermark algorithm embeds the key bit audio into original host audio. There are also different categories of attacks are tested on the watermarked audio signals the needed results are tabulated accordingly.
  • Keywords
    audio signal processing; audio watermarking; hearing; random number generation; random sequences; signal sampling; speech intelligibility; time-domain analysis; audio masking; audio watermarking; human auditory system; multimedia industry; pseudo sequence number generation; time domain audio signal sampling; Encoding; Frequency-domain analysis; Noise; Psychoacoustic models; Time-domain analysis; Watermarking; Human Auditory System; International Federation of Ponographic Industry; Signal to Noise Ratio; Sound Pressure Level;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Communication Networks (CICN), 2014 International Conference on
  • Print_ISBN
    978-1-4799-6928-9
  • Type

    conf

  • DOI
    10.1109/CICN.2014.166
  • Filename
    7065586