Abstract: A tensor is used to describe head-related transfer functions (HRTFs) dependent on frequencies, sound directions and anthropometric parameters.

An application of nonlinear radial basis function (RBF) neural networks (NNs) to improve the accuracy of the prediction of ionospheric parameters is presented.

A tensor is used to describe head-related transfer functions. (HRTFs) dependent on frequencies, sound directions and anthropometric parameters.

Nov 7, 2018 · This paper proposes a personalized head-related transfer function (HRTF) estimation method based on deep neural networks by using ...

Nov 4, 2018 · This paper proposes a personalized head-related transfer function (HRTF) estimation method based on deep neural networks by using ...

Individualization of Head Related Transfer Functions Based on Radial Basis Function Neural Network ... This paper has put forward an HRTF representation modeling ...

Jan 13, 2023 · This study proposed an HRTF individualization method using only spatially sparse measurements using a convolutional neural network (CNN). The ...

Feb 22, 2023 · This article proposes a deep learning method with generic HRTF amplitudes and anthropometric parameters as input features for individual HRTF ...

Apr 4, 2023 · This paper proposes an effective method to establish the relationship between anthropometric features and HRTF. At first, a method based on ...

HRTF personalization based on artificial neural network in individual virtual auditory ... Li et al., "HRTF Personalization Modeling Based on RBF Neural Network ...