Abstract
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 Say When-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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 744-751 |
| Number of pages | 8 |
| Journal | Behavior Research Methods |
| Volume | 40 |
| Issue number | 3 |
| DOIs | |
| State | Published - Aug 1 2008 |
| Externally published | Yes |
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ASJC Scopus subject areas
- Experimental and Cognitive Psychology
- Developmental and Educational Psychology
- Arts and Humanities (miscellaneous)
- Psychology (miscellaneous)
- Psychology(all)
Cite this
Say when : An automated method for high-accuracy speech onset detection. / Jansen, Peter A.; Waiter, Scott.
In: Behavior Research Methods, Vol. 40, No. 3, 01.08.2008, p. 744-751.Research output: Contribution to journal › Article
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TY - JOUR
T1 - Say when
T2 - An automated method for high-accuracy speech onset detection
AU - Jansen, Peter A.
AU - Waiter, Scott
PY - 2008/8/1
Y1 - 2008/8/1
N2 - 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 Say When-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.
AB - 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 Say When-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.
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U2 - 10.3758/BRM.40.3.744
DO - 10.3758/BRM.40.3.744
M3 - Article
C2 - 18697670
AN - SCOPUS:50849132515
VL - 40
SP - 744
EP - 751
JO - Behavior Research Methods
JF - Behavior Research Methods
SN - 1554-351X
IS - 3
ER -