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Implicit neural representation with physics-informed neural networks for the reconstruction of the early part of room impulse responses
Recently deep learning and machine learning approaches have been widely employed for
various applications in acoustics. Nonetheless, in the area of sound field processing and …
various applications in acoustics. Nonetheless, in the area of sound field processing and …
MeshRIR: A dataset of room impulse responses on meshed grid points for evaluating sound field analysis and synthesis methods
A new impulse response (IR) dataset called “MeshRIR” is introduced. Currently available
datasets usually include IRs at an array of microphones from several source positions under …
datasets usually include IRs at an array of microphones from several source positions under …
Physics-informed neural network for volumetric sound field reconstruction of speech signals
Recent developments in acoustic signal processing have seen the integration of deep
learning methodologies, alongside the continued prominence of classical wave expansion …
learning methodologies, alongside the continued prominence of classical wave expansion …
Three-dimensional source localization using sparse Bayesian learning on a spherical microphone array
The identification of acoustic sources in a three-dimensional (3D) domain based on
measurements with an array of microphones is a challenging problem: it entails the …
measurements with an array of microphones is a challenging problem: it entails the …
[HTML][HTML] A physics-informed neural network approach for nearfield acoustic holography
In this manuscript, we describe a novel methodology for nearfield acoustic holography
(NAH). The proposed technique is based on convolutional neural networks, with …
(NAH). The proposed technique is based on convolutional neural networks, with …
Mixed source sound field translation for virtual binaural application with perceptual validation
Non-interactive and linear experienceslike cinema film offer high quality surround sound
audio to enhance immersion, however, the perspective is usually fixed to the recording …
audio to enhance immersion, however, the perspective is usually fixed to the recording …
A compressive sensing approach for the reconstruction of the soundfield produced by directive sources in reverberant rooms
State-of-the-art soundfield reconstruction methods are computationally expensive and their
performance is generally undermined by the presence of strong reverberation and of near …
performance is generally undermined by the presence of strong reverberation and of near …
Sound field estimation based on physics-constrained kernel interpolation adapted to environment
JGC Ribeiro, S Koyama, R Horiuchi… - … /ACM Transactions on …, 2024 - ieeexplore.ieee.org
A sound field estimation method based on kernel interpolation with an adaptive kernel
function is proposed. The kernel-interpolation-based sound field estimation methods enable …
function is proposed. The kernel-interpolation-based sound field estimation methods enable …
Deep prior approach for room impulse response reconstruction
In this paper, we propose a data-driven approach for the reconstruction of unknown room
impulse responses (RIRs) based on the deep prior paradigm. We formulate RIR …
impulse responses (RIRs) based on the deep prior paradigm. We formulate RIR …
Room impulse response interpolation from a sparse set of measurements using a modal architecture
In augmented reality applications, where room geometries and material properties are not
readily available, it is desirable to get a representation of the sound field in a room from a …
readily available, it is desirable to get a representation of the sound field in a room from a …