{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,29]],"date-time":"2026-05-29T23:41:59Z","timestamp":1780098119517,"version":"3.54.0"},"reference-count":44,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100000780","name":"European Commission","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000780","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Italian National Recovery and Resilience Plan"},{"name":"Next Generation EU"},{"name":"Telecommunications of the Future","award":["PE00000001"],"award-info":[{"award-number":["PE00000001"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE\/ACM Trans. Audio Speech Lang. Process."],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/taslp.2023.3324556","type":"journal-article","created":{"date-parts":[[2023,10,16]],"date-time":"2023-10-16T18:25:42Z","timestamp":1697480742000},"page":"113-123","source":"Crossref","is-referenced-by-count":17,"title":["Deep Prior-Based Audio Inpainting Using Multi-Resolution Harmonic Convolutional Neural Networks"],"prefix":"10.1109","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2130-6423","authenticated-orcid":false,"given":"Federico","family":"Miotello","sequence":"first","affiliation":[{"name":"Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1296-0992","authenticated-orcid":false,"given":"Mirco","family":"Pezzoli","sequence":"additional","affiliation":[{"name":"Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4167-5173","authenticated-orcid":false,"given":"Luca","family":"Comanducci","sequence":"additional","affiliation":[{"name":"Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4545-0315","authenticated-orcid":false,"given":"Fabio","family":"Antonacci","sequence":"additional","affiliation":[{"name":"Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5803-1702","authenticated-orcid":false,"given":"Augusto","family":"Sarti","sequence":"additional","affiliation":[{"name":"Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","first-page":"105","article-title":"Audio signal extrapolation&#x2013;theory and applications","author":"kauppinen","year":"0","journal-title":"Proc DAFx"},{"key":"ref35","article-title":"Enabling factorized piano music modeling and generation with the MAESTRO dataset","author":"hawthorne","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref12","first-page":"8","article-title":"Interpolation of long gaps in audio signals using the warped burg's method","author":"esquef","year":"0","journal-title":"Proc 6th Int Conf Digit Audio Effects"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2018.2880284"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2020.3030486"},{"key":"ref37","article-title":"MUSAN: A music, speech, and noise corpus","author":"snyder","year":"2015"},{"key":"ref14","first-page":"594","article-title":"Reconstruction method for missing or damaged long portions in audio signal","volume":"50","author":"kauppinen","year":"2002","journal-title":"J Audio Eng Soc"},{"key":"ref36","article-title":"FMA: A dataset for music analysis","author":"defferrard","year":"0","journal-title":"Proc 18th Int Soc Music Inf Retrieval Conf (ISMIR)"},{"key":"ref31","first-page":"17","article-title":"Real-time spectrogram inversion using phase gradient heap integration","author":"pru\u0161a","year":"0","journal-title":"Proc Int Conf Digit Audio Effects"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2020.3034486"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2020.3037506"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9053795"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2019.2947232"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2020-3185"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2023.3285241"},{"key":"ref1","author":"godsill","year":"2002","journal-title":"Digital Audio Restoration"},{"key":"ref17","first-page":"20916","article-title":"Catch-a-waveform: Learning to generate audio from a single short example","author":"greshler","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2001.941023"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8462187"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP39728.2021.9413488"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-020-01303-4"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2022-10735"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2019.08.025"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2014.11.023"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2018.2819819"},{"key":"ref25","article-title":"Deep audio priors emerge from harmonic convolutional networks","author":"zhang","year":"0","journal-title":"Proc Intl Conf Learn Representations"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2020.3044455"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2019.2955276"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/MLSP.2017.8168119"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/WASPAA52581.2021.9632759"},{"key":"ref44","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"0","journal-title":"Proc 3rd Int Conf Learn Representations ICLR"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3390\/s22072710"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9054254"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref27","first-page":"234","article-title":"U-Net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"0","journal-title":"Proc Int Conf Med Image Comput Comput - Assist Intervention"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2022-10829"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2018.2809864"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2022-903"},{"key":"ref4","article-title":"Audio super-resolution using neural nets","author":"kuleshov","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP49357.2023.10095637"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/PRAI55851.2022.9904265"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2022-644"},{"key":"ref40","year":"2017","journal-title":"Vocabulary for performance quality of service and quality of experience"}],"container-title":["IEEE\/ACM Transactions on Audio, Speech, and Language Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6570655\/10304349\/10286406.pdf?arnumber=10286406","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,20]],"date-time":"2023-11-20T19:34:09Z","timestamp":1700508849000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10286406\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":44,"URL":"https:\/\/doi.org\/10.1109\/taslp.2023.3324556","relation":{},"ISSN":["2329-9290","2329-9304"],"issn-type":[{"value":"2329-9290","type":"print"},{"value":"2329-9304","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}