• DocumentCode
    37805
  • Title

    Elimination of Impulsive Disturbances From Archive Audio Signals Using Bidirectional Processing

  • Author

    Niedzwiecki, Maciej ; Ciolek, Marcin

  • Author_Institution
    Dept. of Autom. Control, Gdansk Univ. of Technol., Gdańsk, Poland
  • Volume
    21
  • Issue
    5
  • fYear
    2013
  • fDate
    May-13
  • Firstpage
    1046
  • Lastpage
    1059
  • Abstract
    In this application-oriented paper we consider the problem of elimination of impulsive disturbances, such as clicks, pops and record scratches, from archive audio recordings. The proposed approach is based on bidirectional processing-noise pulses are localized by combining the results of forward-time and backward-time signal analysis. Based on the results of specially designed empirical tests (rather than on the results of theoretical analysis), incorporating real audio files corrupted by real impulsive disturbances, we work out a set of local, case-dependent fusion rules that can be used to combine forward and backward detection alarms. This allows us to localize noise pulses more accurately and more reliably, yielding noticeable performance improvements, compared to the traditional methods, based on unidirectional processing. The proposed approach is carefully validated using both artificially corrupted audio files and real archive gramophone recordings.
  • Keywords
    audio recording; audio signal processing; signal detection; archive audio recordings; archive audio signals; audio files; backward detection alarms; backward-time signal analysis; bidirectional processing; case-dependent fusion rules; clicks; forward detection alarms; forward-time signal analysis; impulsive disturbance elimination; noise pulses; pops; real-archive gramophone recordings; record scratches; unidirectional processing; Adaptation models; Interpolation; Mathematical model; Noise; Prediction algorithms; Predictive models; Speech; Outlier detection and elimination; adaptive signal processing;
  • fLanguage
    English
  • Journal_Title
    Audio, Speech, and Language Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1558-7916
  • Type

    jour

  • DOI
    10.1109/TASL.2013.2244090
  • Filename
    6425428