Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Spectrophotometric determination of LAP photoinitiator radicalization in ophthalmic applications.

Biomedical materials (Bristol, England)·2026
Same author

3D Bioprinting of Acellular Corneal Stromal Scaffolds with a Low Cost Modified 3D Printer: A Feasibility Study.

Current eye research·2023
Same author

Item-specific proportion congruency (ISPC) modulates, but does not generate, the backward crosstalk effect.

Psychological research·2020
Same author

Memory effects of conflict and cognitive control are processing stage-specific: evidence from pupillometry.

Psychological research·2020
Same author

Subjective semantic surprise resulting from divided attention biases evaluations of an idea's creativity.

Scientific reports·2020
Same author

Congruency Encoding Effects on Recognition Memory: A Stage-Specific Account of Desirable Difficulty.

Frontiers in psychology·2019

Related Experiment Video

Updated: Jul 2, 2026

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
09:09

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Published on: September 27, 2024

SayWhen: an automated method for high-accuracy speech onset detection.

Peter A Jansen1, Scott Watter

  • 1Department of Psychology, Neurosciences and Behaviour, McMaster University, Hamilton, Ontario, Canada. jansenpa@mcmaster.ca

Behavior Research Methods
|August 14, 2008
PubMed
Summary

SayWhen is a new software system that accurately measures speech onset latencies, outperforming traditional voice keys. It automates detection and flags trials for efficient manual review, saving significant time.

More Related Videos

A Protocol for Comprehensive Assessment of Bulbar Dysfunction in Amyotrophic Lateral Sclerosis (ALS)
12:43

A Protocol for Comprehensive Assessment of Bulbar Dysfunction in Amyotrophic Lateral Sclerosis (ALS)

Published on: February 21, 2011

An Automated System for Sound Localization Testing in Hearing-Impaired Listeners
07:52

An Automated System for Sound Localization Testing in Hearing-Impaired Listeners

Published on: March 13, 2026

Related Experiment Videos

Last Updated: Jul 2, 2026

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
09:09

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Published on: September 27, 2024

A Protocol for Comprehensive Assessment of Bulbar Dysfunction in Amyotrophic Lateral Sclerosis (ALS)
12:43

A Protocol for Comprehensive Assessment of Bulbar Dysfunction in Amyotrophic Lateral Sclerosis (ALS)

Published on: February 21, 2011

An Automated System for Sound Localization Testing in Hearing-Impaired Listeners
07:52

An Automated System for Sound Localization Testing in Hearing-Impaired Listeners

Published on: March 13, 2026

Area of Science:

  • Experimental Psychology
  • Speech Science
  • Computational Linguistics

Background:

  • Speech onset latency is a critical dependent measure in various research fields.
  • Traditional voice keys for measuring speech onset latency are known for significant errors and biases.
  • Existing methods for speech onset latency measurement are often time-consuming and labor-intensive.

Purpose of the Study:

  • To introduce SayWhen, a novel software system for accurate offline speech onset latency measurement.
  • To provide a system that surpasses the performance of conventional voice keys.
  • To develop an efficient workflow combining automated detection with selective manual review.

Main Methods:

  • Development of an easy-to-use software system named SayWhen.
  • Implementation of an automated algorithm for high-accuracy speech onset latency detection.
  • Integration of a feature to automatically identify and flag potentially mismeasured trials.
  • Inclusion of a graphical user interface to streamline manual checking and correction.

Main Results:

  • SayWhen demonstrates high accuracy in detecting speech onset latencies, exceeding voice key capabilities.
  • The system effectively flags a subset of trials requiring manual inspection, optimizing review time.
  • The combined automated and selective manual checking approach achieves performance close to full manual coding.

Conclusions:

  • SayWhen offers a significant advancement in the accurate and efficient measurement of speech onset latencies.
  • The software system provides a practical solution for researchers seeking reliable and time-saving latency measurements.
  • SayWhen's methodology represents a substantial improvement over traditional voice key systems in experimental research.