Advertisement

Behavior Research Methods

, Volume 40, Issue 3, pp 744–751 | Cite as

SayWhen: An automated method for high-accuracy speech onset detection

  • Peter A. Jansen
  • Scott Watter
Articles
  • 601 Downloads

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 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.

Keywords

Speech Signal Onset Detection Human Attention Scanning Window Candidate Signal Detection 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. Carroll, N. C., & Young, A. W. (2005). Priming of emotion recognition. Quarterly Journal of Experimental Psychology, 58A, 1173–1197.Google Scholar
  2. De Houwer, J. (2004). Spatial Simon effects with nonspatial responses. Psychonomic Bulletin & Review, 11, 49–53.CrossRefGoogle Scholar
  3. Frederiksen, J. R., & Kroll, J. F. (1976). Spelling and sound: Approaches to the internal lexicon. Journal of Experimental Psychology: Human Perception & Performance, 2, 361–379.CrossRefGoogle Scholar
  4. Kawamoto, A. H., & Kello, C. T. (1999). Effect of onset cluster complexity in speeded naming: A test of rule-based approaches. Journal of Experimental Psychology: Human Perception & Performance, 25, 361–375.CrossRefGoogle Scholar
  5. Kello, C. T., & Kawamoto, A. H. (1998). Runword: An IBM-PC software package for the collection and acoustic analysis of speeded naming responses. Behavior Research Methods, Instruments, & Computers, 30, 371–383.CrossRefGoogle Scholar
  6. Kessler, B., Treiman, R., & Mullennix, J. (2002). Phonetic biases in voice key response time measurements. Journal of Memory & Language, 47, 145–171.CrossRefGoogle Scholar
  7. Meier, B. P., & Robinson, M. D. (2004). Why the sunny side is up: Associations between affect and vertical position. Psychological Science, 15, 243–247.CrossRefPubMedGoogle Scholar
  8. Naccache, L., Dehaene, S., Cohen, L., Habert, M.-O., Guichart-Gomez, E., Galanaud, D., & Willer, J.-C. (2005). Effortless control: Executive attention and conscious feeling of mental effort are dissociable. Neuropsychologia, 43, 1318–1328.CrossRefPubMedGoogle Scholar
  9. Nino, R. S., & Rickard, T. C. (2003). Practice effects on two memory retrievals from a single cue. Journal of Experimental Psychology: Learning, Memory, & Cognition, 29, 373–388.CrossRefGoogle Scholar
  10. Pechmann, T., Reetz, H., & Zerbst, D. (1989). Kritik einer Meßmethode: Zur Ungenauigkeit von voice-key Messungen [Critique of a method of measurement: On the unreliability of voice-key measurements]. Sprache & Kognition, 8, 65–71.Google Scholar
  11. Rastle, K., & Davis, M. H. (2002). On the complexities of measuring naming. Journal of Experimental Psychology: Human Perception & Performance, 28, 307–314.CrossRefGoogle Scholar
  12. Rohrer, D., & Pashler, H. E. (2003). Concurrent task effects on memory retrieval. Psychonomic Bulletin & Review, 10, 96–103.CrossRefGoogle Scholar
  13. Tyler, M. D., Tyler, L., & Burnham, D. K. (2005). The delayed trigger voice key: An improved analogue voice key for psycholinguistic research. Behavior Research Methods, 37, 139–147.PubMedGoogle Scholar

Copyright information

© Psychonomic Society, Inc. 2008

Authors and Affiliations

  1. 1.Department of Psychology, Neuroscience and BehaviourMcMaster UniversityHamiltonCanada

Personalised recommendations