In this paper, we propose a convolutional recurrent neural network for joint sound event
localization and detection (SELD) of multiple overlap** sound events in three-dimensional …

Spatially oriented acoustic data can range from a simple set of impulse responses, such as
head-related transfer functions, to a large set of multiple-input multiple-output spatial room …

This paper proposes a deep neural network for estimating the directions of arrival (DOA) of
multiple sound sources. The proposed stacked convolutional and recurrent neural network …

Reproduction of spatial properties of recorded sound scenes is increasingly recognised as a
crucial element of all emerging immersive applications, with domestic or cinema-oriented …

Head-related transfer functions (HRTFs) describe the spatial filtering of the incoming sound.
So far available HRTFs are stored in various formats, making an exchange of HRTFs difficult …

In this paper, we address the issue of near-field source localization using spherical
microphone array. The spherical array has been widely used for far-field source localization …

Soundfield analysis based on spherical harmonic decomposition has been widely used in
various applications; however, a drawback is the three-dimensional geometry of the …

A method to interpolate the acoustic transfer function (ATF) between regions using kernel
ridge regression (KRR) is proposed. Conventionally, the ATF interpolation problem is …

Pseudointensity vectors (PIVs) provide a means of direction of arrival (DOA) estimation for
spherical microphone arrays using only the zeroth and the first-order spherical harmonics …

Psychoacoustic experiments have shown that directional properties of the direct sound,
salient reflections, and the late reverberation of an acoustic room response can have a …