Janssen 20: Audio Inpainting in the Time-frequency Domain
<|reference_start|>Janssen 20: Audio Inpainting in the Time-frequency Domain: The paper focuses on inpainting missing parts of an audio signal spectrogram. First, a recent successful approach based on an untrained neural network is revised and its several modifications are proposed, improving the signal-to-noise ratio of the restored audio. Second, the Janssen algorithm, the autoregression-based state-of-the-art for time-domain audio inpainting, is adapted for the time-frequency setting. This novel method, coined Janssen-TF, is compared to the neural network approach using both objective metrics and a subjective listening test, proving Janssen-TF to be superior in all the considered measures.<|reference_end|>
@article{mokrý2024janssen,
    title={Janssen 2.0: Audio Inpainting in the Time-frequency Domain},
    author={Ondv{r}ej Mokr'y, Peter Baluv{s}'ik, Pavel Rajmic},
    journal={arXiv preprint arXiv:2409.06392},
    year={2024},
    archivePrefix={arXiv},
    eprint={2409.06392},
    primaryClass={eess.AS cs.SD}
}