Missing data imputation for spectral audio signals


With the recent attention to audio processing in the time -frequency domain we increasingly encounter the problem of missing data. In this paper we present an approach that allows for imputing missing values in the time-frequency domain of audio signals. The presented approach is able to deal with real-world polyphonic signals by performing imputation even in the presence of complex mixtures. We show that this approach outperforms generic imputation approaches, and we present a variety of situations that highlight its utility.

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Showing 1-10 of 13 references

Spectral Audio Signal Processing

  • J O Smith
  • 2007
1 Excerpt

Detailed graphical models for source separation and missing data interpolation in audio

  • M J Reyes-Gomez, N Jojic, D P W Ellis
  • 2004
2 Excerpts

Imputing Missing Data for Gene Expression Arrays

  • T Hastie, R Tibshirani, G Sherlock, M Eisen, P Brown, D Botstein
  • 1999
1 Excerpt
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