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Janssen 2.0: Audio Inpainting in the Time-frequency Domain

2024-09-10Code Available0· sign in to hype

Ondřej Mokrý, Peter Balušík, Pavel Rajmic

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Abstract

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, a state-of-the-art for the time-domain audio inpainting, is adapted for the time-frequency setting. This novel method, termed Janssen-TF, is compared with the deep-prior neural network approach using both objective metrics and a subjective listening test, proving Janssen-TF to be superior in all the considered measures.

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