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

Confirmation Biases01:31

Confirmation Biases

8.1K
The confirmation bias is the tendency to focus on information that confirms our existing beliefs and ignore information that is inconsistent with our expectations. For example, if you think that your professor is not very nice, you notice all of the instances of rude behavior exhibited by the professor while ignoring the countless pleasant interactions he is involved in on a daily basis. Have you ever fallen prey to the confirmation bias, either as the source or target of such bias?
8.1K
Hindsight Biases01:12

Hindsight Biases

4.2K
Hindsight bias leads you to believe that the event you just experienced was predictable, even though it really wasn’t. In other words, you knew all along that things would turn out the way they did. Can you relate this to the phrase "Hindsight is 20/20" now? 
4.2K
Fundamental Attribution Error01:14

Fundamental Attribution Error

13.7K
According to some social psychologists, people tend to overemphasize internal factors as explanations—or attributions—for the behavior of other people. They tend to assume that the behavior of another person is a trait of that person, and to underestimate the power of the situation on the behavior of others. They tend to fail to recognize when the behavior of another is due to situational variables, and thus to the person’s state. This erroneous assumption is...
13.7K
Resultant of a General Distributed Loading01:13

Resultant of a General Distributed Loading

1.0K
While designing structures exposed to non-uniform loads, it is crucial to consider the resultant force and its location. This resultant force is a single vector representing the net force applied due to the distributed load.
Examples such as load distribution due to wind and load distribution on a bridge illustrate how this concept is used to analyze and design safe, reliable structures under variable loading conditions. Most structures, such as residential buildings, bridges, and towers, are...
1.0K
Bias01:22

Bias

7.3K
Bias refers to any tendency that prevents a question from being considered unprejudiced. In research, bias occurs when one outcome or answer is selected or encouraged over others in sampling or testing. Bias can occur during any research phase, including study design, data collection, analysis, and publication.
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
7.3K
Resultant Moment: Scalar Formulation01:31

Resultant Moment: Scalar Formulation

2.3K
When multiple forces act on an object in two-dimensional space, the concept of the net moment can be used to understand the tendency of these forces to induce rotational motion about a fixed point. The scalar formulation of the resultant moment is a helpful tool in analyzing the equilibrium of structures subjected to multiple forces.
To determine the resultant moment, the moments caused by all the forces in a system in the x-y plane are considered. Positive moments are typically...
2.3K

You might also read

Related Articles

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

Sort by
Same author

Vibrotactile signals can aid recognition of spectrally degraded speech signals.

JASA express letters·2026
Same author

An analysis of pausing in Cantonese alaryngeal speech.

Clinical linguistics & phonetics·2025
Same author

Lexical Stress in Mandarin Second-Language Speakers of English: An Electromagnetic Articulography Study.

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

Piperidine-based ionic liquid additive with electrostatic shielding and redox activity enabling advanced lithium-oxygen batteries.

Chemical communications (Cambridge, England)·2024
Same author

Assessing ultrasound probe stabilization for quantifying speech production contrasts using the Adjustable Laboratory Probe Holder for UltraSound (ALPHUS).

Journal of phonetics·2024
Same author

The effect of native language and bilingualism on multimodal perception in speech: A study of audio-aerotactile integrationa).

The Journal of the Acoustical Society of America·2024

Related Experiment Video

Updated: Jan 24, 2026

An Olfactory Preference Test for Measuring Olfactory Hedonic Biases in Mouse Models of Depression
06:27

An Olfactory Preference Test for Measuring Olfactory Hedonic Biases in Mouse Models of Depression

Published on: July 11, 2025

962

F0-induced formant measurement errors result in biased variabilities.

Wei-Rong Chen1, D H Whalen1, Christine H Shadle1

  • 1Haskins Laboratories, 300 George Street, New Haven, Connecticut 06511, USAchenw@haskins.yale.edu, whalen@haskins.yale.edu, shadle@haskins.yale.edu.

The Journal of the Acoustical Society of America
|June 3, 2019
PubMed
Summary

Formant measurements in developmental speech studies can be inaccurate due to fundamental frequency (F0) bias. This bias creates significant, systematic errors in acoustic variability, even with large sample sizes.

More Related Videos

Post-Movie Subliminal Measurement PMSM, for Investigating Implicit Social Bias
09:03

Post-Movie Subliminal Measurement PMSM, for Investigating Implicit Social Bias

Published on: February 29, 2020

6.2K
Errors as a Means of Reducing Impulsive Food Choice
07:07

Errors as a Means of Reducing Impulsive Food Choice

Published on: June 5, 2016

9.1K

Related Experiment Videos

Last Updated: Jan 24, 2026

An Olfactory Preference Test for Measuring Olfactory Hedonic Biases in Mouse Models of Depression
06:27

An Olfactory Preference Test for Measuring Olfactory Hedonic Biases in Mouse Models of Depression

Published on: July 11, 2025

962
Post-Movie Subliminal Measurement PMSM, for Investigating Implicit Social Bias
09:03

Post-Movie Subliminal Measurement PMSM, for Investigating Implicit Social Bias

Published on: February 29, 2020

6.2K
Errors as a Means of Reducing Impulsive Food Choice
07:07

Errors as a Means of Reducing Impulsive Food Choice

Published on: June 5, 2016

9.1K

Area of Science:

  • Speech acoustics
  • Developmental phonetics
  • Linguistics

Background:

  • Developmental studies often link reduced acoustic variability to improved motor control.
  • Linear prediction methods for formant measurement are susceptible to fundamental frequency (F0) bias, particularly at high F0 values.
  • The extent of formant variability attributable to F0 variations remains unclear.

Purpose of the Study:

  • To quantify formant variability caused by F0 bias.
  • To estimate the proportion of formant variability due to F0 bias and other measurement errors.
  • To assess the impact of large sample sizes on mitigating these errors.

Main Methods:

  • Synthesized 470,000 vowels.
  • Mimicked statistical properties from four developmental speech studies.
  • Estimated formant variability attributed to F0 bias and measurement errors.

Main Results:

  • F0-induced errors in formant measurements are substantial and systematic.
  • These errors persist regardless of sample size.
  • A significant portion of observed formant variability may stem from measurement artifacts rather than physiological changes.

Conclusions:

  • The F0 bias in linear prediction significantly impacts formant measurements in developmental speech research.
  • Findings challenge the interpretation of acoustic variability solely as a marker of motor control development.
  • Methodological improvements are needed to account for F0 bias in acoustic analyses of speech development.