3 papers
eess.AS2025
Regularized autoregressive modeling and its application to audio signal reconstruction
OndÅej Mokrý, Pavel Rajmic
Autoregressive (AR) modeling is invaluable in signal processing, in particular in speech and audio fields. Attempts in the literature can be found that regularize or constrain eith…
eess.AS2025
Janssen 2.0: Audio Inpainting in the Time-frequency Domain
OndÅej Mokrý, Peter BaluÅ¡Ãk, 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.AS2025
Tweaking autoregressive methods for inpainting of gaps in audio signals
OndÅej 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…