Localisation auditive en contexte de synthèse binaurale non-individuelle

Abstract : With the spread of headphone listening, binaural technology appears as the most appropriate solution to democratize the access to spatialized audio contents. Binaural synthesis of virtual sound sources is based on the use of filters called HRTFs, which provide the listener with accurate localization cues. These cues are however highly listener-dependent and the use of non-individual HRTFs may lead to localization and timbre artefacts.Individual acquisition of HRTFs requires a complex measurement setup installed in an anechoic chamber which is incompatible with large scale deployment. Therefore, individualization methods have been devised in order to offer alternatives to this individual measurement. They are often based on the exploitation of large HRTFs databases. To this end, a new HRTFs database with high spatial and frequency resolution has been created. The development of a model that predicts the perceived direction of a virtual source synthesized with non-individual HRTFs is the core of the thesis work. The choice of the metric used for quantifying the similarity between HRTFs receives a particular attention. The ultimate goal is to evaluate how such a model can be used to select automatically the optimal HRTFs set for an individual, from the observation of his responses in a localization test of virtual sound sources synthesized with non-individual HRTFs. The implementation of such a test implies the use of a reporting method, which may introduce some bias in the responses. This thesis includes a comparative study of 3 reporting methods and the recommendation of a method more suitable in the context of binaural listening through headphones.
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Hélène Bahu. Localisation auditive en contexte de synthèse binaurale non-individuelle. Traitement du signal et de l'image [eess.SP]. Université Pierre et Marie Curie - Paris VI, 2016. Français. ⟨NNT : 2016PA066452⟩. ⟨tel-01508535⟩

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