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Background: Binaural unmasking is an essential process for understanding in noisy environments. This mechanism would involve the comparison of time and frequency cues throughout the hearing nerve pathways. However, there is no real consensus evoking a treatment of a binaural masking release at a subcortical and/or a cortical level. The purpose of this study is to investigate the time and frequency cues of the binaural unmasking through a perceptual study, and then through an electroencephalographic study (EEG).Materials and Methods: Normal hearing people were evaluated with a perceptive study to estimate the importance of the binaural unmasking according to 1) the frequency width of the contralateral noise (1 octave, 3 octaves or broadband), 2) the temporal coherence of bilateral noises (correlation equal to 0 or 1) and 3) the frequency of the target stimuli (0.5, 1, 2 and 4 kHz). Binaural unmasking was then evaluated with EEG by studying 1) early latencies (

Background: Binaural unmasking is an essential process for understanding in noisy environments. This mechanism would involve the comparison of time and frequency cues throughout the hearing nerve pathways. However, there is no real consensus evoking a treatment of a binaural masking release at a subcortical and/or a cortical level. The purpose of this study is to investigate the time and frequency cues of the binaural unmasking through a perceptual study, and then through an electroencephalographic study (EEG).Materials and Methods: Normal hearing people were evaluated with a perceptive study to estimate the importance of the binaural unmasking according to 1) the frequency width of the contralateral noise (1 octave, 3 octaves or broadband), 2) the temporal coherence of bilateral noises (correlation equal to 0 or 1) and 3) the frequency of the target stimuli (0.5, 1, 2 and 4 kHz). Binaural unmasking was then evaluated with EEG by studying 1) early latencies (, Contexte : Le démasquage binaural est un processus indispensable pour la compréhension en environnement bruyant. Ce mécanisme ferait intervenir la comparaison d’indices temporels et fréquentiels tout au long des voies nerveuses auditives. Cependant, il n’existe pas de réel consensus évoquant un traitement du démasquage à un niveau sous-cortical et/ou cortical. L’objet de cette étude est d’étudier ces indices temporels et fréquentiels du démasquage par le biais d’une étude perceptive, puis d’une étude électroencéphalographique (EEG). Matériels et méthodes : Une population normoentendante a été évaluée lors d’une étude perceptive visant à estimer l’importance du démasquage en fonction de 1) la largeur fréquentielle du bruit controlatéral (de 1 octave, 3 octaves ou à large bande), 2) la cohérence temporelle des bruits bilatéraux (corrélation égale à 0 ou 1) et 3) la fréquence des stimuli cibles (0,5, 1, 2 et 4 kHz). Puis, le démasquage a été évalué en EEG par l’étude 1) des latences précoces (

cote interne IRCAM: Busson04a; None / None; National audience; The spatialization rendering with binaural synthesis is still limited by the individualization of the spatial filters, which are usually composed of a pure delay for the interaural time difference (ITD) and a minimumphase filter for the spectral cues. This paper deals with the individualization of the ITD based on physical modeling. Individualized ITDs are well predicted by a spherical-head model with a customized radius derived from an empiric linear combination of three head anthropometric parameters describing the listener’s head. However it can be observed that the constant ITD contours computed from the spherical-head model are concentric circles, whereas the constant ITD contours extracted from measured HRTFs show deviations from these circles, especially for azimuths near to the interaural axis. The location of the ears with respect to the center of the head seems to be the main factor to reproduce these deviations. The authors propose to introduce a parameter governing the ears’ shifting, so as to break the symmetry of the spherical-head model. This idea leads to a new formula for the computation of individualized ITDs. The formula is tested by comparison with measured data. The authors also examine to what extent the deviations of the measured ITD along the circles contribute to the individualization. Psycho-acoustical experiments are performed to answer this question.