标题： 动态实时双二次格式适应用于沉浸式网络音乐表演 显示英文标题

标题： Dynamic Real-Time Ambisonics Order Adaptation for Immersive Networked Music Performances

摘要： 高级远程应用，如网络音乐表演（NMP），需要解决方案来保证用户之间的沉浸式真实世界般的交互。 因此，采用空间音频格式，如Ambisonics，是让用户体验沉浸式声学场景的基础。 Ambisonics编码的阶数越高，声音场景的再现精度就越高，从而在增加沉浸感的同时，也增加了音频通道的数量，进而提高了带宽需求和对网络缺陷（例如延迟、抖动和丢包）的敏感性。 这些因素对互动音乐会话构成了重大挑战，因为它们需要高空间保真度和低端到端延迟。 我们提出了一种实时自适应的高阶Ambisonics策略，该策略持续监控网络吞吐量并动态调整Ambisonics阶数。 当可用带宽低于预设阈值时，阶数会降低以防止音频中断；一旦条件恢复，就会重新回到较高阶数，从而在沉浸感和可靠性之间取得平衡。 基于MUSHRA的评估表明，这种自适应方法在带宽受限的NMP场景中具有保证用户体验的潜力。 显示英文摘要

摘要： Advanced remote applications such as Networked Music Performance (NMP) require solutions to guarantee immersive real-world-like interaction among users. Therefore, the adoption of spatial audio formats, such as Ambisonics, is fundamental to let the user experience an immersive acoustic scene. The accuracy of the sound scene reproduction increases with the order of the Ambisonics enconding, resulting in an improved immersivity at the cost of a greater number of audio channels, which in turn escalates both bandwidth requirements and susceptibility to network impairments (e.g., latency, jitter, and packet loss). These factors pose a significant challenge for interactive music sessions, which demand high spatial fidelity and low end-to-end delay. We propose a real-time adaptive higher-order Ambisonics strategy that continuously monitors network throughput and dynamically scales the Ambisonics order. When available bandwidth drops below a preset threshold, the order is lowered to prevent audio dropouts; it then reverts to higher orders once conditions recover, thus balancing immersion and reliability. A MUSHRA-based evaluation indicates that this adaptive approach is promising to guarantee user experience in bandwidth-limited NMP scenarios.