2 citations · 4 across the 9 of their papers we have counts for
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eess.AS2024★ 1 cited
Janssen 2.0: Audio Inpainting in the Time-frequency Domain
Ondřej Mokrý, Peter Balušík, Pavel Rajmic
The paper focuses on inpainting missing parts of an audio signal spectrogram, i.e., estimating the lacking time-frequency coefficients. The autoregression-based Janssen algorithm,…
eess.AS2024★ 1 cited
Tweaking autoregressive methods for inpainting of gaps in audio signals
Ondřej Mokrý, Pavel Rajmic
A novel variant of the Janssen method for audio inpainting is presented and compared to other popular audio inpainting methods based on autoregressive (AR) modeling. Both conceptua…