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Crowd-sourced device latency estimation for synchronization of recordings in vocal capture applications

机译:人群捕获应用中录制同步的人群潜伏期估算

摘要

Latency on different devices (e.g., devices of differing brand, model, vintage, etc.) can vary significantly and tens of milliseconds can affect human perception of lagging and leading components of a performance. As a result, use of a uniform latency estimate across a wide variety of devices is unlikely to provide good results, and hand-estimating round-trip latency across a wide variety of devices is costly and would constantly need to be updated for new devices. Instead, a system has been developed for crowdsourcing latency estimates.
机译:不同设备的延迟(例如,不同品牌,模型,复古等的设备,可以显着变化,并且数十毫秒可以影响人类对滞后和性能领先组件的感知。 因此,在各种设备上使用统一的延迟估计不太可能提供良好的结果,并且跨各种设备的往返延迟成本高昂,并且不断需要更新新设备。 相反,已经为众包延迟估计开发了一个系统。

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