PRTFNet: HRTF Individualization for Accurate Spectral Cues using a Compact PRTF

Monaural Source Separation Using Spectral Cues

The acoustic environment poses at least two important challenges. First, animals must localise sound sources using a variety of binaural and monaural cues; and second they must separate sources into distinct auditory streams (the “cocktail party problem”). Binaural cues include intra-aural intensity and phase disparity. The primary monaural cue is the spectral filtering introduced by the head a...

An approach to individualization of head-related transfer functions based on the spectral cues for sound localization

Hrtf Personalization Using Anthropometric Measurements

Individualized head related transfer functions (HRTFs) are needed for accurate rendering of spatial audio, which is important in many applications. Since these are relatively tedious to acquire, they may not be acceptable for some applications. A number of studies have sought to perform simple customization of the HRTF. We propose and test a strategy for HRTF personalization, based on matching ...

Fast and Accurate High-density Hrtf Mea- Surements Using Generalized Frequency- Domain Adaptive Filter

High-Density (HD) Head-related transfer function (HRTF) measurements are extremely timeconsuming and complicated. This problem can be solved by continuously rotate a dummy head and using on-line de-convolution of binaural signals to obtain the HD HRTFs. In this work, we use a generalized frequency-domain adaptive filter (GFDAF) for HD HRTF measurements, which has significant better convergence ...

Spectral Approximation for Compact Operators

In this paper a general spectral approximation theory is developed for compact operators on a Banach space. Results are obtained on the approximation of eigenvalues and generalized eigenvectors. These results are applied in a variety of situations.