Sparsity-based audio declipping methods: selected overview, new algorithms, and large-scale evaluation

Autor: Clément Gaultier, Srdan Kitic, Nancy Bertin, Rémi Gribonval

Publikováno v: IEEE/ACM Transactions on Audio, Speech and Language Processing
IEEE/ACM Transactions on Audio, Speech and Language Processing, 2021, 29, pp.1174-1187. ⟨10.1109/TASLP.2021.3059264⟩
IEEE/ACM Transactions on Audio, Speech and Language Processing, Institute of Electrical and Electronics Engineers, 2021, 29, pp.1174-1187. ⟨10.1109/TASLP.2021.3059264⟩

Recent advances in audio declipping have substantially improved the state of the art.% in certain saturation regimes. Yet, practitioners need guidelines to choose a method, and while existing benchmarks have been instrumental in advancing the field,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4043939bec429a19757a204d4264938d
https://inria.hal.science/hal-02611226v3/document

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Audio declipping via nonnegative matrix factorization

Autor: Patrick Pérez, Alexey Ozerov, Cagdas Bilen

Publikováno v: WASPAA
IEEE Workshop on Applications of Signal Processing to Audio and Acoustics
IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, Oct 2015, New Paltz, NY, United States

International audience; Audio inpainting and audio declipping are important problems in audio signal processing, which are encountered in various practical applications. A number of approaches has been proposed in the literature to address these prob

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c467a79f943940346694782ee1ad0863
https://doi.org/10.1109/waspaa.2015.7336948

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