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DIGITAL WATERMARKING OF AUDIO SIGNALS USING A PSYCHOACOUSTIC AUDITORY MODEL AND SPREAD SPECTRUM THEORY * By: Ricardo A. Garcia *Research done at: University of Miami School of Music 1999 MIT Media Lab Machine Listening Group
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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
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Watermark characteristics: Not perceptible (transparent) Resistant to degradation –Removal attempts –Transmission by analog/digital channel –Sub-band coders Original audio is not required in recovery
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Conference Overview: 1. a) Psychoacoustic Auditory Model b) Noise shaping (watermark embedding) c) Spread Spectrum watermark generation 2. Developed system 3. Examples and System Performance 4. Conclusions
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a) PSYCHOACOUSTIC AUDITORY MODEL Simultaneous frequency masking Calculate an approximated masking threshold T(z) - frequency holes -
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Psychoacoustic Auditory Model
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Masking Threshold T(z)
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b) NOISE SHAPING Replace components below masking threshold with components from a broadband noise-like signal (watermark) Level of the watermark below threshold Each critical band has its own scaling factor
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Noise Shaping
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c) SPREAD SPECTRUM Communication system –Uses all the available spectrum (broadband, noise-like) –Each channel use an orthogonal code –All other channels appear as “noise”
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TDMAFDMA CDMA spread spectrum
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Information = data sequence (watermark) Jammer = music signal (after auditory model)
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Direct Sequence Spreading Uncoded Direct Sequence Binary Phase Shift Keying Uncoded DS/BPSK Data sequence (watermark) Modulator (f o ) PN sequence
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Uncoded DS/BPSK
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De-Spreading and Data Recovery
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Coded DS/BPSK Transmitter: –Repeat Code (m) –Interleaving Receiver: –De-interleaving –Decoder (decision rule)
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2. PROPOSED SYSTEM Transmission: watermark generation and embedding
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Reception: watermark recovery
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3. EXAMPLES Original Audio After Auditory Model Residual One watermark Shaped watermark Watermarked Audio
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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 –(next slide) Listening test –ABX test, 40 trials (-2 db, 24 correct id.), (-4 db, 19), (-6 db, 19)
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MPEG LAYER 3 Level: -2 dB
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4. 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
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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
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Contact Information Ricardo A. Garcia –Email: rago@media.mit.edu –Website: http://www.media.mit.edu/~rago
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