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Nancy Bertin
Researcher at Centre national de la recherche scientifique
Publications - 51
Citations - 2761
Nancy Bertin is an academic researcher from Centre national de la recherche scientifique. The author has contributed to research in topics: Non-negative matrix factorization & Matrix decomposition. The author has an hindex of 18, co-authored 51 publications receiving 2526 citations. Previous affiliations of Nancy Bertin include Télécom ParisTech & French Institute for Research in Computer Science and Automation.
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Nonnegative matrix factorization with the itakura-saito divergence: With application to music analysis
TL;DR: Results indicate that IS-NMF correctly captures the semantics of audio and is better suited to the representation of music signals than NMF with the usual Euclidean and KL costs.
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Adaptive Harmonic Spectral Decomposition for Multiple Pitch Estimation
TL;DR: A NMF-like algorithm is derived that performs similarly to supervised NMF using pre-trained piano spectra but improves pitch estimation performance by 6% to 10% compared to alternative unsupervised NMF algorithms.
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Enforcing Harmonicity and Smoothness in Bayesian Non-Negative Matrix Factorization Applied to Polyphonic Music Transcription
TL;DR: Bayesian NMF with harmonicity and temporal continuity constraints is shown to outperform other standard NMF-based transcription systems, providing a meaningful mid-level representation of the data.
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From Blind to Guided Audio Source Separation: How models and side information can improve the separation of sound
TL;DR: Audio is a domain where signal separation has long been considered as a fascinating objective, potentially offering a wide range of new possibilities and experiences in professional and personal contexts, by better taking advantage of audio material and finely analyzing complex acoustic scenes.
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Near-field acoustic holography using sparse regularization and compressive sampling principles.
TL;DR: This paper shows that, for convex homogeneous plates with arbitrary boundary conditions, alternative regularization schemes can be developed based on the sparsity of the normal velocity of the plate in a well-designed basis, i.e., the possibility to approximate it as a weighted sum of few elementary basis functions.