The paper focuses on inpainting missing parts of an audio signal spectrogram. The autoregression-based Janssen algorithm, the 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 to 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.
View on arXiv@article{mokrý2025_2409.06392,
title={ Janssen 2.0: Audio Inpainting in the Time-frequency Domain },
author={ Ondřej Mokrý and Peter Balušík and Pavel Rajmic },
journal={arXiv preprint arXiv:2409.06392},
year={ 2025 }
}