Reducing audio stimulus presentation latencies across studies, laboratories, and hardware and operating system configurations

计算机科学 延迟(音频) 通用串口总线 语音识别 计算机硬件 软件 电信 操作系统
作者
Destiny L. Babjack,Brandon Cernicky,A. Sobotka,Lee Basler,Devon Struthers,Richard Kisic,Kimberly Barone,Anthony Zuccolotto
出处
期刊:Behavior Research Methods [Springer Science+Business Media]
卷期号:47 (3): 649-665 被引量:9
标识
DOI:10.3758/s13428-015-0608-x
摘要

Using differing computer platforms and audio output devices to deliver audio stimuli often introduces (1) substantial variability across labs and (2) variable time between the intended and actual sound delivery (the sound onset latency). Fast, accurate audio onset latencies are particularly important when audio stimuli need to be delivered precisely as part of studies that depend on accurate timing (e.g., electroencephalographic, event-related potential, or multimodal studies), or in multisite studies in which standardization and strict control over the computer platforms used is not feasible. This research describes the variability introduced by using differing configurations and introduces a novel approach to minimizing audio sound latency and variability. A stimulus presentation and latency assessment approach is presented using E-Prime and Chronos (a new multifunction, USB-based data presentation and collection device). The present approach reliably delivers audio stimuli with low latencies that vary by ≤1 ms, independent of hardware and Windows operating system (OS)/driver combinations. The Chronos audio subsystem adopts a buffering, aborting, querying, and remixing approach to the delivery of audio, to achieve a consistent 1-ms sound onset latency for single-sound delivery, and precise delivery of multiple sounds that achieves standard deviations of 1/10th of a millisecond without the use of advanced scripting. Chronos’s sound onset latencies are small, reliable, and consistent across systems. Testing of standard audio delivery devices and configurations highlights the need for careful attention to consistency between labs, experiments, and multiple study sites in their hardware choices, OS selections, and adoption of audio delivery systems designed to sidestep the audio latency variability issue.

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