Zobrazeno 1 - 10
of 110
pro vyhledávání: '"Bertin, Nancy"'
Music is an art, perceived in unique ways by every listener, coming from acoustic signals. In the meantime, standards as musical scores exist to describe it. Even if humans can make this transcription, it is costly in terms of time and efforts, even
Externí odkaz:
http://arxiv.org/abs/2107.11250
Autor:
Di Carlo, Diego, Tandeitnik, Pinchas, Foy, Cédric, Deleforge, Antoine, Bertin, Nancy, Gannot, Sharon
This paper presents dEchorate: a new database of measured multichannel Room Impulse Responses (RIRs) including annotations of early echo timings and 3D positions of microphones, real sources and image sources under different wall configurations in a
Externí odkaz:
http://arxiv.org/abs/2104.13168
Uncovering audio patterns in music with Nonnegative Tucker Decomposition for structural segmentation
Publikováno v:
21st International Society for Music Information Retrieval Conference (ISMIR), Montr\'eal, Canada, 2020, 788-794
Recent work has proposed the use of tensor decomposition to model repetitions and to separate tracks in loop-based electronic music. The present work investigates further on the ability of Nonnegative Tucker Decompositon (NTD) to uncover musical patt
Externí odkaz:
http://arxiv.org/abs/2104.08580
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:
http://arxiv.org/abs/2005.10228
Publikováno v:
International Conferenze on Acoustic, Speech Signal Processing - ICASSP 2019, May 2019, Calgary, United Kingdom
It is commonly observed that acoustic echoes hurt performance of sound source localization (SSL) methods. We introduce the concept of microphone array augmentation with echoes (MIRAGE) and show how estimation of early-echo characteristics can in fact
Externí odkaz:
http://arxiv.org/abs/1906.08968
Autor:
Lebarbenchon, Romain, Camberlein, Ewen, di Carlo, Diego, Gaultier, Clément, Deleforge, Antoine, Bertin, Nancy
This short paper presents an efficient, flexible implementation of the SRP-PHAT multichannel sound source localization method. The method is evaluated on the single-source tasks of the LOCATA 2018 development dataset, and an associated Matlab toolbox
Externí odkaz:
http://arxiv.org/abs/1812.05901
We propose a unified modeling and algorithmic framework for audio restoration problem. It encompasses analysis sparse priors as well as more classical synthesis sparse priors, and regular sparsity as well as various forms of structured sparsity embod
Externí odkaz:
http://arxiv.org/abs/1711.11259
Publikováno v:
LVA/ICA 2015 - The 12th International Conference on Latent Variable Analysis and Signal Separation, Aug 2015, Liberec, Czech Republic
This work investigates the empirical performance of the sparse synthesis versus sparse analysis regularization for the ill-posed inverse problem of audio declipping. We develop a versatile non-convex heuristics which can be readily used with both dat
Externí odkaz:
http://arxiv.org/abs/1506.01830
Autor:
Bertin, Nancy, Camberlein, Ewen, Lebarbenchon, Romain, Vincent, Emmanuel, Sivasankaran, Sunit, Illina, Irina, Bimbot, Frédéric
Publikováno v:
In Speech Communication January 2019 106:68-78
Autor:
Chardon, Gilles, Daudet, Laurent, Peillot, Antoine, Ollivier, François, Bertin, Nancy, Gribonval, Rémi
Regularization of the inverse problem is a complex issue when using Near-field Acoustic Holography (NAH) techniques to identify the vibrating sources. This paper shows that, for convex homogeneous plates with arbitrary boundary conditions, new regula
Externí odkaz:
http://arxiv.org/abs/1207.5618