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

Variability: Analysis01:11

Variability: Analysis

125
Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...
125
Typical Model Studies01:30

Typical Model Studies

311
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
311
Expected Frequencies in Goodness-of-Fit Tests01:19

Expected Frequencies in Goodness-of-Fit Tests

2.5K
A goodness-of-fit test is conducted to determine whether the observed frequency values are statistically similar to the frequencies expected for the dataset. Suppose the expected frequencies for a dataset are equal such as when predicting the frequency of any number appearing when casting a die. In that case, the expected frequency is the ratio of the total number of observations (n)  to the number of categories (k).
2.5K
Improving Translational Accuracy02:07

Improving Translational Accuracy

2.5K
2.5K
Empirical Method to Interpret Standard Deviation01:09

Empirical Method to Interpret Standard Deviation

5.1K
The empirical rule, also known as the three-sigma rule, allows a statistician to interpret the standard deviation in a normally distributed dataset. The rule states that 68% of the data lies within one standard deviation from the mean, 95% lies within two standard deviations from the mean, and 99.7% lies within three standard deviations from the mean. Additionally, this rule is also called the 68-95-99.7 rule.
This rule is used widely in statistics to calculate the proportion of data values...
5.1K
Randomized Experiments01:13

Randomized Experiments

6.7K
The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
Simple...
6.7K

You might also read

Related Articles

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

Sort by
Same author

Beyond Categorical Perception: Gradient Lexical Tone Processing Revealed by Visual Analog Scale.

Journal of speech, language, and hearing research : JSLHR·2026
Same author

Configurable Modular EEG Classification Framework with Multiscale Features and Ensemble Learning: A Reproducible Evaluation for Schizophrenia Detection.

Bioengineering (Basel, Switzerland)·2026
Same author

An Approach to Fisher-Rao Metric for Infinite Dimensional Non-Parametric Information Geometry.

Entropy (Basel, Switzerland)·2026
Same author

Transforming Interfacial Reactivity Into Stability for Durable High-Current Solid-State Sodium Batteries.

Angewandte Chemie (International ed. in English)·2026
Same author

Hepatocyte-derived LRG1 primes the liver for metastasis and impairs immunotherapy.

Cellular & molecular immunology·2026
Same author

Quality of informal care among informal caregivers of people with dementia: A latent profile and ROC analysis.

PloS one·2026

Related Experiment Video

Updated: May 28, 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

1.4K

Determining Optimal Talker Variability for Nonnative Speech Training: A Systematic Review and Bayesian Network

Xiaojuan Zhang1, Bing Cheng1, Yu Zou1

  • 1English Department & Language and Cognitive Neuroscience Lab, School of Foreign Studies, Xi'an Jiaotong University, China.

Journal of Speech, Language, and Hearing Research : JSLHR
|February 12, 2025
PubMed
Summary

Optimizing talker variability in second-language speech training is key for effective learning. A moderate level, balancing talker numbers and presentation, yields the best results for language acquisition.

More Related Videos

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

386
Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
08:05

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

Published on: June 30, 2020

7.4K

Related Experiment Videos

Last Updated: May 28, 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

1.4K
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

386
Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
08:05

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

Published on: June 30, 2020

7.4K

Area of Science:

  • Speech-language pathology
  • Second language acquisition
  • Educational psychology

Background:

  • Talker variability in nonnative speech training is crucial for improving pronunciation and intelligibility.
  • Previous research has yielded mixed results on the optimal level of talker variability.
  • A systematic approach is needed to synthesize existing evidence.

Purpose of the Study:

  • To determine the optimal level of talker variability in training to maximize second-language speech learning.
  • To compare different talker variability training conditions using a meta-analysis.

Main Methods:

  • Systematic search of studies on talker variability in nonnative speech training.
  • Bayesian network meta-analysis of 32 studies with 998 participants.
  • Ranking of six training conditions by effectiveness using surface under the cumulative ranking curve (SUCRA) values.

Main Results:

  • Training with six talkers was most effective (SUCRA = 94%), but conditions with four or two talkers, depending on presentation format, also showed high effectiveness.
  • Moderate talker variability, considering both number and presentation format, demonstrated significant improvements in second-language speech outcomes.
  • The analysis revealed moderate between-study heterogeneity.

Conclusions:

  • Optimizing talker variability in nonnative speech training requires balancing the number of talkers and their presentation format.
  • A moderate level of talker variability is most effective for enhancing second-language speech training outcomes.
  • This study provides evidence-based recommendations for designing effective speech training programs.