1 / 24

By: Ricardo A. Garcia

DIGITAL WATERMARKING OF AUDIO SIGNALS USING A PSYCHOACOUSTIC AUDITORY MODEL AND SPREAD SPECTRUM THEORY. By: Ricardo A. Garcia. University of Miami School of Music 1999. Objectives:. Design an algorithm and implement a system capable of embedding digital watermarks into audio signals

jude
Download Presentation

By: Ricardo A. Garcia

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. DIGITAL WATERMARKING OF AUDIO SIGNALS USING A PSYCHOACOUSTIC AUDITORY MODEL AND SPREAD SPECTRUM THEORY By: Ricardo A. Garcia University of Miami School of Music 1999

  2. Objectives: • Design an algorithm and implement a system capable of embedding digital watermarks into audio signals • Use spread spectrum techniques to generate the watermark. • Use a psychoacoustic auditory model to shape the watermark

  3. Characteristics: • Not perceptible (transparent) • Resistant to degradation • Removal attempts • Transmission by analog/digital channel • Sub-band coders • Original audio is not required in recovery

  4. Design Approach:

  5. SPREAD SPECTRUM • Communication system • Uses all the available spectrum • Each channel uses an orthogonal code • All other channels appear as “noise”

  6. FDMA TDMA CDMA spread spectrum

  7. Direct Sequence Spreading Uncoded Direct Sequence Binary Phase Shift Keying Uncoded DS/BPSK

  8. Uncoded DS/BPSK

  9. De-Spreading and Data Recovery

  10. Coded DS/BPSK • Transmitter: • Repeat Code • Interleaving • Receiver: • De-interleaving • Decoder (decision rule)

  11. PSYCHOACOUSTIC AUDITORY MODEL • Simultaneous frequency masking • Calculate an approximated masking threshold T(z) LINEAR LOGARITHMIC

  12. FrequencyBark Scale Mapping • Critical bands • Basilar membrane spreading function B(z)

  13. Psychoacoustic Auditory Model

  14. Noise Shaping • Replace components below masking threshold with components from watermark • Level of the watermark below threshold • Each band has its own scaling factor

  15. Noise Shaping

  16. PROPOSED SYSTEM Transmission: watermark generation and embedding

  17. Reception: watermark recovery

  18. SYSTEM PERFORMANCE • Survival over different channels • MPEG • Mini Disc • Two consecutive D/A - A/D • Analog Tape • FM Stereo Radio • FM Mono Radio • FM Mono Radio (weak signal) • AM Radio

  19. MPEG LAYER 3 Level: -2 dB

  20. Listening Test • Transparency was achieved for all the watermarking levels. • Total listening trials: 40 • level = -2 dB 24 correct identifications • level = -4 dB 19 correct identifications • level = -6 dB 19 correct identifications

  21. CONCLUSIONS • The perceptual quality of the audio signal was retained • The watermark signal survives to different removal attacks (redundancy) • Few parameters are needed at the receiver to recover the watermark

  22. FURTHER RESEARCH • Performance with different types of music • Changes in the playback speed of the signal • Bit error detection and recovery • Optimal spread spectrum parameters • Multiple watermark embedding • Crosstalk interference

More Related