Alain de Cheveigné

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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 with a surface reconstruction method in the time± frequency region. The method also consists of a fundamental frequency (F0) extraction using instantaneous frequency calculation based(More)
An accurate fundamental frequency (F0) estimation method for non-stationary, speech-like sounds is proposed based on the differential properties of the instantaneous frequencies of two sets of filter outputs. A specific type of fixed points of mapping from the filter center frequency to the output instantaneous frequency provides frequencies of the(More)
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 in understanding pitch perception. The busy reader might read just the next section, a crash course in pitch theory that explains why some obvious ideas don’t work and what(More)
English) joint cancellation model guaranteed A. de Cheveigné, H. Kawahara, "Multiple pitches", last revised: 8 July 1998 2 Number of pages (including figures): Number of Figures: Number of Tables: The pitch of a periodic sound is strongly correlated with its period. To perceive the multiple pitches evoked by several simultaneous sounds, the auditory system(More)
This paper presents a ‘‘neural cancellation filter’’ capable of segregating weak targets from competing harmonic backgrounds, and a model of concurrent vowel segregation based upon it. The elementary cancellation filter comprises a delay line and an inhibitory synapse. Filters within each peripheral channel are tuned to the period of the competing sound to(More)
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. Sensors are combined linearly with weights that are chosen to provide optimal signal-to-noise ratio. Signal and noise can be variably defined to match the specific need, e.g.(More)
A methodology is presented for fundamental frequency estimation of one or more voices. The signal is modeled as the sum of one or more periodic signals, and the parameters estimated by search with interpolation. Accurate, reliable estimates are obtained for each frame without tracking or continuity constraints, and without the use of specific instrument(More)
Subjects identified concurrent synthetic vowel pairs in four experiments. The first experiment found that improvements in vowel identification with a difference in fundamental frequency (DF0) do not depend on component phase. The second investigated more precisely whether phase patterns resulting from ongoing phase shifts in inharmonic stimuli can by(More)
This paper proposes a novel 0 contour estimation algorithm based on a precise parametric description of the voiced parts of speech derived from the power spectrum. The algorithm is able to perform in a wide variety of noisy environments as well as to estimate the 0s of cochannel concurrent speech. The speech spectrum is modeled as a sequence of spectral(More)