Missing data imputation for spectral audio signals

Abstract

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

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  • 2007
1 Excerpt

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

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2 Excerpts

Imputing Missing Data for Gene Expression Arrays

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1 Excerpt
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