Jove
Visualize
Contact Us

Related Concept Videos

Sampling Continuous Time Signal01:11

Sampling Continuous Time Signal

251
In signal processing, a continuous-time signal can be sampled using an impulse-train sampling technique, followed by the zero-order hold method. Impulse-train sampling involves the use of a periodic impulse train, which consists of a series of delta functions spaced at regular intervals determined by the sampling period. When a continuous-time signal is multiplied by this impulse train, it generates impulses with amplitudes corresponding to the signal's values at the sampling points.
In the...
251

You might also read

Related Articles

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

Sort by
Same author

Development and Validation of Modified Basic English Lexicon Sentences for Use With a Pediatric Population.

American journal of audiology·2026
Same author

Sensitivity to interaural phase as a function of frequency: Age effects measured with behavioral and electrophysiological tasks.

The Journal of the Acoustical Society of America·2026
Same author

Cross-frequency interactions in band importance functions.

The Journal of the Acoustical Society of America·2026
Same author

The Effect of Diverse Linguistic Experience on Second Language-Accented English Sentence Recognition Among Monolingual and Spanish-English Bilingual Children and Adults.

Journal of speech, language, and hearing research : JSLHR·2025
Same author

Masked-speech Recognition Using Human and Synthetic Cloned Speech.

Trends in hearing·2025
Same author

Testing Sentence-in-Noise Recognition With Synthetic Speech and Automatic Speech Recognition.

Journal of speech, language, and hearing research : JSLHR·2025
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 Experiment Video

Updated: Jul 9, 2025

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
05:48

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

Published on: August 9, 2024

1.5K

Steep temporal integration for tone detection in a multi-tone, random-frequency masker.

Emily Buss1, Huanping Dai2

  • 1Department of Otolaryngology/Head and Neck Surgery, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA.

The Journal of the Acoustical Society of America
|November 28, 2023
PubMed
Summary

Masking tones can create steep temporal integration for tone burst detection in normal-hearing adults. Despite large individual differences, this study reveals key insights into auditory perception and signal detection models.

More Related Videos

Measurement & Analysis of the Temporal Discrimination Threshold Applied to Cervical Dystonia
10:05

Measurement & Analysis of the Temporal Discrimination Threshold Applied to Cervical Dystonia

Published on: January 27, 2018

9.8K
A Method for Tracking the Time Evolution of Steady-State Evoked Potentials
12:03

A Method for Tracking the Time Evolution of Steady-State Evoked Potentials

Published on: May 25, 2019

8.5K

Related Experiment Videos

Last Updated: Jul 9, 2025

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
05:48

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

Published on: August 9, 2024

1.5K
Measurement & Analysis of the Temporal Discrimination Threshold Applied to Cervical Dystonia
10:05

Measurement & Analysis of the Temporal Discrimination Threshold Applied to Cervical Dystonia

Published on: January 27, 2018

9.8K
A Method for Tracking the Time Evolution of Steady-State Evoked Potentials
12:03

A Method for Tracking the Time Evolution of Steady-State Evoked Potentials

Published on: May 25, 2019

8.5K

Area of Science:

  • Auditory Neuroscience
  • Psychoacoustics
  • Signal Detection Theory

Background:

  • Temporal integration is crucial for auditory perception, especially in noisy environments.
  • Masking effects can significantly alter temporal integration properties.

Purpose of the Study:

  • To evaluate the steepness of temporal integration in normal-hearing adults under multi-tone masking.
  • To compare observed results with predictions from signal-detection models.

Main Methods:

  • Nine normal-hearing adults detected 1000-Hz tone bursts amidst continuous four-tone masker bursts with random frequencies (250-4000 Hz).
  • Stimuli were 80-ms bursts, with signal bursts gated synchronously with masker bursts.
  • Temporal integration was assessed by varying signal duration and analyzing psychometric functions.

Main Results:

  • An exceptionally steep mean temporal integration function was observed (26 dB threshold improvement from 1 to 8 bursts).
  • Large individual differences in performance were noted.
  • A shallow mean psychometric function (35 dB range) was consistent with prior research.

Conclusions:

  • Template-matching models predicted the shallow psychometric functions but failed to account for the steep temporal integration.
  • Further refinement of signal-detection models is needed to fully explain auditory temporal integration under masking.