User profiles for A. de Cheveigné
 | Alain de Cheveigne'Senior Scientist, CNRS / ENS / Université Paris Descartes / University College London Verified email at ens.fr Cited by 11326 |
[PDF][PDF] Filters: when, why, and how (not) to use them
A de Cheveigné, I Nelken - Neuron, 2019 - cell.com
Filters are commonly used to reduce noise and improve data quality. Filter theory is part of a
scientist's training, yet the impact of filters on interpreting data is not always fully appreciated…
scientist's training, yet the impact of filters on interpreting data is not always fully appreciated…
Joint decorrelation, a versatile tool for multichannel data analysis
A de Cheveigné, LC Parra - Neuroimage, 2014 - Elsevier
We review a simple yet versatile approach for the analysis of multichannel data, focusing in
particular on brain signals measured with EEG, MEG, ECoG, LFP or optical imaging. …
particular on brain signals measured with EEG, MEG, ECoG, LFP or optical imaging. …
Multiway canonical correlation analysis of brain data
Brain data recorded with electroencephalography (EEG), magnetoencephalography (MEG)
and related techniques often have poor signal-to-noise ratios due to the presence of multiple …
and related techniques often have poor signal-to-noise ratios due to the presence of multiple …
Restructuring speech representations using a pitch-adaptive time–frequency smoothing and an instantaneous-frequency-based F0 extraction: Possible role of a …
A set of simple new procedures has been developed to enable the real-time manipulation of
speech parameters. The proposed method uses pitch-adaptive spectral analysis combined …
speech parameters. The proposed method uses pitch-adaptive spectral analysis combined …
YIN, a fundamental frequency estimator for speech and music
A De Cheveigné, H Kawahara - The Journal of the Acoustical Society …, 2002 - pubs.aip.org
An algorithm is presented for the estimation of the fundamental frequency (F 0 ) of speech or
musical sounds. It is based on the well-known autocorrelation method with a number of …
musical sounds. It is based on the well-known autocorrelation method with a number of …
Pitch perception models
A De Cheveigne - Pitch: Neural coding and perception, 2005 - Springer
This chapter discusses models of pitch, old and recent. The aim is to chart their common
points—many are variations on a theme—and differences, and build a catalog of ideas for use …
points—many are variations on a theme—and differences, and build a catalog of ideas for use …
Denoising based on spatial filtering
A de Cheveigné, JZ Simon - Journal of neuroscience methods, 2008 - Elsevier
We present a method for removing unwanted components of biological origin from
neurophysiological recordings such as magnetoencephalography (MEG), electroencephalography (…
neurophysiological recordings such as magnetoencephalography (MEG), electroencephalography (…
Denoising based on time-shift PCA
A De Cheveigné, JZ Simon - Journal of neuroscience methods, 2007 - Elsevier
We present an algorithm for removing environmental noise from neurophysiological
recordings such as magnetoencephalography (MEG). Noise fields measured by reference …
recordings such as magnetoencephalography (MEG). Noise fields measured by reference …
The dependency of timbre on fundamental frequency
… as a cofactor in the relation between signal descriptors and psychophysical dimensions of
timbre. … Small systematic variations have nevertheless been observed see de Cheveigné and …
timbre. … Small systematic variations have nevertheless been observed see de Cheveigné and …
[HTML][HTML] Decoding the auditory brain with canonical component analysis
The relation between a stimulus and the evoked brain response can shed light on perceptual
processes within the brain. Signals derived from this relation can also be harnessed to …
processes within the brain. Signals derived from this relation can also be harnessed to …