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SANN-PSZ: Spatially Adaptive Neural Network for Head-Tracked Personal Sound Zones

Autor: Qiao, Yue, Choueiri, Edgar

A deep learning framework for dynamically rendering personal sound zones (PSZs) with head tracking is presented, utilizing a spatially adaptive neural network (SANN) that inputs listeners' head coordinates and outputs PSZ filter coefficients. The SAN

Externí odkaz: http://arxiv.org/abs/2411.00772

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Neural Ambisonic Encoding For Multi-Speaker Scenarios Using A Circular Microphone Array

Autor: Qiao, Yue, Kothapally, Vinay, Yu, Meng, Yu, Dong

Spatial audio formats like Ambisonics are playback device layout-agnostic and well-suited for applications such as teleconferencing and virtual reality. Conventional Ambisonic encoding methods often rely on spherical microphone arrays for efficient s

Externí odkaz: http://arxiv.org/abs/2409.06954

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A Multi-loudspeaker Binaural Room Impulse Response Dataset with High-Resolution Translational and Rotational Head Coordinates in a Listening Room

Autor: Qiao, Yue, Gonzales, Ryan Miguel, Choueiri, Edgar

Data report for the 3D3A Lab Binaural Room Impulse Response (BRIR) Dataset (https://doi.org/10.34770/6gc9-5787).
Comment: Submitted to Frontiers in Signal Processing

Externí odkaz: http://arxiv.org/abs/2403.12258

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Isolation performance metrics for personal sound zone reproduction systems

Autor: Qiao, Yue, Guadagnin, Léo, Choueiri, Edgar

Two isolation performance metrics, Inter-Zone Isolation (IZI) and Inter-Program Isolation (IPI), are introduced for evaluating Personal Sound Zone (PSZ) systems. Compared to the commonly-used Acoustic Contrast metric, IZI and IPI are generalized for

Externí odkaz: http://arxiv.org/abs/2209.11296

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