SayWhen: An automated method for high-accuracy speech onset detection
SayWhen: An automated method for high-accuracy speech onset detection
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DOI：
10.3758/brm.40.3.744
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发表时间：
2008-08-01
影响因子：
5.4
通讯作者：
Watter, Scott
中科院分区：
文献类型：
--
作者：
Jansen, Peter A.;Watter, Scott
许多研究人员在许多实验领域利用口头反应的延迟作为一个依赖的措施。这些测量通常使用语音键进行，语音键是一种监视语音信号幅度的电子设备，并检测何时超过预定的阈值。不幸的是，语音键一再被证明在准确检测语音发作延迟方面存在惊人的错误和偏差。我们提出了saywheni -一个易于使用的离线语音启动延迟测量软件系统，它(1)以高精度自动检测语音启动延迟，远远超出语音关键性能，(2)自动检测并标记最有可能有错误测量启动的试验子集，用于可选的手动检查，以及(3)实现图形用户界面，大大加快并促进检查和纠正该标记的试验子集。这种自动加选择性检查方法在很短的时间内达到了完全手工编码的黄金标准性能。
Many researchers across many experimental domains utilize the latency of spoken responses as a dependent measure. These measurements are typically made using a voice key, an electronic device that monitors the amplitude of a voice signal, and detects when a predetermined threshold is crossed. Unfortunately, voice keys have been repeatedly shown to be alarmingly errorful and biased in accurately detecting speech onset latencies. We present SayWhen-an easy-to-use software system for offline speech onset latency measurement that (1) automatically detects speech onset latencies with high accuracy, well beyond voice key performance, (2) automatically detects and flags a subset of trials most likely to have mismeasured onsets, for optional manual checking, and (3) implements a graphical user interface that greatly speeds and facilitates the checking and correction of this flagged subset of trials. This automatic-plus-selective-checking method approaches the gold standard performance of full manual coding in a small fraction of the time.