Method for selecting perceptually optimal HRTF filters in a database according to morphological parameters

摘要

A method for selecting a perceptually optimal HRTF in a database according to morphological parameters. A first database includes the HRTFs of subjects M, a second database includes the morphological parameters of the subjects, and a third database corresponds to a perceptual classification of the HRTFs. The N most relevant morphological parameters are sorted by correlating the second and third databases. A multidimensional space is created, which optimizes the spatial separation between the HRTFs according to the classification thereof in the third database to obtain an optimized space. An optimized projection model MPO is calculated for correlating K optimal morphological parameters with the corresponding position of the HRTF filters in the optimized space. For any user whose HRTF is not included in the database, at least one HRTF can be selected from the database BD1 according to the parameters K of the user and the optimized projection model MPO.

主权项

1. A method for selecting a perceptually optimal head-related transfer function (HRTF) in a database according to morphological parameters, comprising the steps of:
sorting, among all of the morphological parameters from a second database, the N most relevant morphological parameters by correlating the second database and a third database, wherein a first database comprises the HRTFs of a plurality of subjects, a second database comprises the morphological parameters of the subjects from the first database, and a third database corresponds to a perceptual classification of the HRTFs from the first database with respect to a judgment by the subjects performed using a listening test corresponding to the different HRTFs from the first database; generating a multidimensional space whose dimensions result from a combination of HRTF components; modifying rules for combining components to maximize a correlation between a spatial separation between the HRTFs and the classification of the HRTFs in the third database to obtain an optimized multidimensional space; calculating an optimized projection model for correlating K sorted morphological parameters extracted from the second database with a corresponding position of the HRTFs in the optimized multidimensional space, the K extracted parameters maximizing the correlation between the optimized multidimensional space and a space produced by the optimized projection model; measuring the K morphological parameters for a user not having an HRTF in the first database; applying the previously calculated optimized projection model to extracted morphological parameters to obtain the user's projected position in the optimized multidimensional space; and selecting at least one HRTF in a vicinity of the user's projection position in the optimized multidimensional space.