- P. Smaragdis, B. Raj. 2008. Inferring missing spectral data.. Abstract: In this talk we will present a methodology that allows us to infer missing portions of spectrograms. We will present an approach that constructs models of sounds by observing either examples or the existing portions of a spectrogram with missing data. Once the model is learned we can use it to reconstruct missing areas of a spectrogram with inaudible artifacts. This process is very useful when trying to correct errors from spectral editing or when dealing with processes that corrupt a signal in the time/frequency domain. We will show how this approach is appropriate for polyphonic audio signals and that it significantly outperforms approaches using generic statistical models which are ill suited for spectral data.
