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On Building Immersive Audio Applications Using Robust Adaptive Beamforming and Joint Audio-Video Source Localization

机译:关于使用稳健的自适应波束形成和联合音频-视频源本地化构建沉浸式音频应用程序

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This paper deals with some of the different problems, strategies, and solutions of building true immersive audio systems oriented to future communication applications. The aim is to build a system where the acoustic field of a chamber is recorded using a microphone array and then is reconstructed or rendered again, in a different chamber using loudspeaker array-based techniques. Our proposal explores the possibility of using recent robust adaptive beamforming techniques for effectively estimating the original sources of the emitting room. A joint audio-video localization method needed in the estimation process as well as in the rendering engine is also presented. The estimated source signal and the source localization information drive a wave field synthesis engine that renders the acoustic field again at the receiving chamber. The system performance is tested using MUSHRA-based subjective tests.
机译:本文探讨了构建面向未来通信应用的真正的沉浸式音频系统的一些不同问题,策略和解决方案。目的是建立一个系统,在该系统中,使用麦克风阵列记录腔室的声场,然后使用基于扬声器阵列的技术在另一个腔室中再次重建或渲染该腔室。我们的建议探讨了使用最新的强大自适应波束成形技术来有效估计发射室的原始信号源的可能性。还提出了估计过程以及渲染引擎中所需的联合音频视频定位方法。估计的源信号和源定位信息驱动波场合成引擎,该引擎再次在接收腔中渲染声场。使用基于MUSHRA的主观测试来测试系统性能。

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