Ronan Hamon — accepted AI-conference papers

2018

Being Low-Rank in the Time-Frequency Plane

Valentin Emiya, Ronan Hamon, Caroline Chaux

ICASSP 2018accepted

When using optimization methods with matrix variables in signal processing and machine learning, it is customary to assume some low-rank prior on the targeted solution. Nonnegative matrix factorization of spectrograms is a case in point in audio signal processing. However, this low-rank prior is not…

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2017

Assessment of musical noise using localization of isolated peaks in time-frequency domain

Ronan Hamon, Valentin Emiya, Lucas Rencker, Wenwu Wang, Mark D. Plumbley

ICASSP 2017accepted

Musical noise is a recurrent issue that appears in spectral techniques for denoising or blind source separation. Due to localised errors of estimation, isolated peaks may appear in the processed spectrograms, resulting in annoying tonal sounds after synthesis known as “musical noise”. In this paper,…

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