On the Use of Autoregressive Methods for Audio Inpainting
CoRR(2024)
摘要
The paper presents an evaluation of popular audio inpainting methods based on
autoregressive modelling, namely, extrapolation-based and Janssen methods. A
novel variant of the Janssen method suitable for gap inpainting is also
proposed. The main differences between the particular popular approaches are
pointed out, and a mid-scale computational experiment is presented. The results
demonstrate the importance of the choice of the AR model estimator and the
suitability of the new gap-wise Janssen method.
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