… Author links open overlay panel Alain de Cheveigné a b c , Giovanni M. Di Liberto a b ,
Dorothée Arzounian a b , Daniel DE Wong a b , Jens Hjortkjær d e , Søren Fuglsang d , Lucas C. …

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 …

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…

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. …

We present a method for removing unwanted components of biological origin from
neurophysiological recordings such as magnetoencephalography (MEG), electroencephalography (…

We present an algorithm for removing environmental noise from neurophysiological
recordings such as magnetoencephalography (MEG). Noise fields measured by reference …

… Les modèles de Meddis et Hewitt sont de type spectro-temporel (sélection de canaux de filtre
… features of a weaker voice, judging from examples reported by de Cheveigné (Fig. 5(a) in (…

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 …

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 …

The decoding of selective auditory attention from noninvasive electroencephalogram (EEG)
data is of interest in brain computer interface and auditory perception research. The current …