Spectral Denoising for Microphone Classification

Author:

Cuccovillo Luca1,Giganti Antonio2,Bestagini Paolo2,Aichroth Patrick1,Tubaro Stefano2

Affiliation:

1. Fraunhofer IDMT, Ilmenau, Germany

2. Politecnico di Milano, Milano, Italy

Funder

Horizon 2020 Framework Programme

Publisher

ACM

Reference21 articles.

1. Learning to Detect Misleading Content on Twitter

2. Luca Bondi , Silvia Lameri , David Güera , Paolo Bestagini , Edward J. Delp , and Stefano Tubaro . 2017 . Tampering Detection and Localization Through Clustering of Camera-Based CNN Features. In IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE , Honolulu, HI, USA , 1855--1864. https://doi.org/10.1109/CVPRW.2017.232 Luca Bondi, Silvia Lameri, David Güera, Paolo Bestagini, Edward J. Delp, and Stefano Tubaro. 2017. Tampering Detection and Localization Through Clustering of Camera-Based CNN Features. In IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, Honolulu, HI, USA, 1855--1864. https://doi.org/10.1109/CVPRW.2017.232

3. A Non-Local Algorithm for Image Denoising

4. Adaptive wavelet thresholding for image denoising and compression

5. Open-set microphone classification via blind channel analysis

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2. Environment Classification via Blind Roomprints Estimation;2022 IEEE International Workshop on Information Forensics and Security (WIFS);2022-12-12

3. Speaker-Independent Microphone Identification in Noisy Conditions;2022 30th European Signal Processing Conference (EUSIPCO);2022-08-29

4. MAD '22 Workshop: Multimedia AI against Disinformation;Proceedings of the 2022 International Conference on Multimedia Retrieval;2022-06-27

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