- Read more about Variable span trade-off filter for sound zone control with kernel interpolation weighting
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A sound zone control method is proposed, based on the frequency domain variable span trade-off filter (VAST). Existing VAST methods optimizes the sound field at a set of discrete points, while the proposed method uses kernel interpolation to instead optimize the sound field over a continuous region. When the loudspeaker positions are known, the performance can be improved further by applying a directional weighting to the interpolation procedure.
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- Read more about Closed-form single source direction-of-arrival estimator using first-order relative harmonic coefficients
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- Read more about Region-to-region kernel interpolation of acoustic transfer function with directional weighting
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A method of interpolating the acoustic transfer function (ATF) between regions that takes into account both the physical properties of the ATF and the directionality of region configurations is proposed. Most spatial ATF interpolation methods are limited to estimation in the region of receivers. A kernel method for region-to-region ATF interpolation makes it possible to estimate the ATFs for both source and receiver regions from a discrete set of ATF measurements.
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- Read more about ON SYNCHRONIZATION OF WIRELESS ACOUSTIC SENSOR NETWORKS IN THE PRESENCE OF TIME-VARYING SAMPLING RATE OFFSETS AND SPEAKER CHANGES
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- Read more about SPARSITY-BASED SOUND FIELD SEPARATION IN THE SPHERICAL HARMONICS DOMAIN
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Sound field analysis and reconstruction has been a topic of intense research in the last decades for its multiple applications in spatial audio processing tasks. In this context, the identification of the direct and reverberant sound field components is a problem of great interest, where several solutions exploiting spherical harmonics representations have already been proposed.
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- Read more about TIME-DOMAIN ACOUSTIC CONTRAST CONTROL WITH A SPATIAL UNIFORMITY CONSTRAINT FOR PERSONAL AUDIO SYSTEMS
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Personal audio systems with multiple sound zones for listeners to enjoy different music/audio contents privately in a shared physical space have attracted great research interest in the past two decades. Acoustic Contrast Control (ACC) is one of the most popular methods for generating multiple personal sound zones because it produces the minimum inter-zone interference. However, the ACC method has been found to be inferior to the pressure matching method in terms of sound quality due to an uneven frequency response and nonuniform spatial sound field distribution in the bright zone.
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- Read more about Rotation-Robust Beamforming Based on Sound Field Interpolation with Regularly Circular Microphone Array
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In this paper, we present a novel framework of beamforming robust for a microphone array rotation. In most array signal processing methods, the time-invariant transfer system from a source to a microphone is assumed for calculating a spatial filter. This assumption makes it difficult to use the microphone array in real situations since sources and the microphone array may move. In this work, we focus on one such movement, the array’s rotation. The key in our method is to use a regularly circular microphone array where microphones are equally spaced on a circle’s circumference.
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- Read more about Acoustic analysis and dataset of transitions between coupled rooms
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- Read more about ON THE PREDICTABILITY OF HRTFS FROM EAR SHAPES USING DEEP NETWORKS
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Head-Related Transfer Function (HRTF) individualization is critical for immersive and realistic spatial audio rendering in augmented/virtual reality. Neither measurements nor simulations using 3D scans of head/ear are scalable for practical applications. More efficient machine learning approaches are being explored recently, to predict HRTFs from ear images or anthropometric features. However, it is not yet clear whether such models can provide an alternative for direct measurements or high-fidelity simulations. Here, we aim to address this question.
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- Read more about ICASSP 2021 Poster - SPARSE RECOVERY BEAMFORMING AND UPSCALING IN THE RAY SPACE
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We have been exploring the integration of sparse recovery methods into the ray space transform over the past years and now demonstrate the potential and benefits of beamforming and upscaling signals in the integrated ray space and sparse recovery domain. A primary advantage of the ray space approach derives from its robust ability to integrate information from multiple arrays and viewpoints. Nonetheless, for a given viewpoint, the ray space technique requires a dense array that can be divided into sub-arrays enabling the plenacoustic approach to signal processing.
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