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Tweaking autoregressive methods for inpainting of gaps in audio signals

2024/03/07 by Ondřej Mokrý, Mokrý, Ondřej, Pavel Rajmic +1 · 1 citation
Computer Science · #Music and Audio Processing #Speech and Audio Processing #Image and Signal Denoising Methods

paper · pdf · doi:10.48550/arxiv.2403.04433

Abstract

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 conceptual differences and practical implications are discussed. The experiments demonstrate the importance of the choice of the AR model estimator, window/context length, and model order. The results show the superiority of the proposed gap-wise Janssen approach using objective metrics, which is confirmed by a listening test.

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