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Digital Audio Restoration

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De-click, de-crackle. De-hiss. Resonant noise pulse removal. De-click/de-crackle. De-click/de-crackle. Time domain models for clicks and audio ... – PowerPoint PPT presentation

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Title: Digital Audio Restoration


1
Digital Audio Restoration
  • Simon Godsill
  • Signal Processing Group
  • University of Cambridge
  • www-sigproc.eng.cam.ac.uk/sjg

2
Overview
  • Audio Restoration - motivation
  • Audio Restoration in Cambridge 1984-2003
  • Review of core technologies
  • Audio restoration - principles
  • Advanced topics
  • Emerging techniques

3
Audio Restoration - motivation
  • Requirement to enhance material from
  • Sound Archives
  • Historical disk remastering
  • Recent Magnetic Tape recordings
  • Forensic recordings,

4
Audio Restoration in Cambridge
  • 1984-88 - British Library funds research into
    restoration of archived gramophone recordings at
    Signal Processing Group with Prof. Peter Rayner.
  • 1988 Cambridge company spun-out CEDAR Audio.
    First real-time de-hiss and de-click in 1990,
    using DSP hardware on a PC platform.
  • 1990 -- Research into advanced audio
    processing at Cambridge University - Godsill,
    Rayner, Wolfe, Fong,

5
Core Technologies
  • De-click, de-crackle
  • De-hiss
  • Resonant noise pulse removal

6
De-click/de-crackle
7
De-click/de-crackle
  • Time domain models for clicks and audio
  • Optimal detection and estimation of corrupted
    samples
  • Use fully Bayesian methods where time permits

8
De-hiss

  • Frequency-domain methods predominate
  • Non-linear processing of spectral information to
    incorporate local temporal and frequency
    dependence
  • Time-domain model-based methods also developed
    (joint click/hiss removal)

Courtesy Patrick Wolfe see
www-sigproc.eng.cam.ac.uk/pjw47
9
Resonant noise pulses
  • Tone-arm resonance in the presence of breakages
    or other severe damage to gramophone disk grooves
  • Simplest methods subtract an averaged template
    for the transient
  • More sophisticated methods apply a stochastic
    model for the resonant system

10
Low frequency noise pulse removal, contd.
11
Advanced Topics
  • Bayesian statistical models
  • De-clipping/de-quantizing
  • Pitch variation defects (Wow)

12
Future Directions
13
Resources
  • Digital Audio Restoration - a statistical
    model-based approach by Simon Godsill and Peter
    Rayner, Springer-Verlag 1998
  • See www-sigproc.eng.cam.ac.uk/sjg for extracts,
    publications and sound examples
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