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

Applications of Logarithms01:28

Applications of Logarithms

53
Logarithmic functions are powerful tools for simplifying the mathematical representation of phenomena involving exponential changes. Their ability to convert multiplicative relationships into additive ones is especially valuable in various scientific and engineering contexts. One notable application of logarithms is measuring sound intensity, specifically through the decibel (dB) scale used in acoustics.Sound intensity levels vary over an extensive range, from the faintest audible whisper to...
53
Sampling Distribution01:12

Sampling Distribution

15.8K
Given simple random samples of size n from a given population with a measured characteristic such as mean, proportion, or standard deviation for each sample, the probability distribution of all the measured characteristics is called a sampling distribution. How much the statistic varies from one sample to another is known as the sampling variability of a statistic. You typically measure the sampling variability of a statistic by its standard error. The standard error of the mean is an example...
15.8K
Normal Distribution01:11

Normal Distribution

15.4K
The normal, a continuous distribution, is the most important of all the distributions. Its graph is a bell-shaped symmetrical curve, which is observed in almost all disciplines. Some of these include psychology, business, economics, the sciences, nursing, and, of course, mathematics. Some instructors may use the normal distribution to help determine students’ grades. Most IQ scores are normally distributed. Often real-estate prices fit a normal distribution. The normal distribution is...
15.4K
Parametric Survival Analysis: Weibull and Exponential Methods01:14

Parametric Survival Analysis: Weibull and Exponential Methods

797
Parametric survival analysis models survival data by assuming a specific probability distribution for the time until an event occurs. The Weibull and exponential distributions are two of the most commonly used methods in this context, due to their versatility and relatively straightforward application.
Weibull Distribution
The Weibull distribution is a flexible model used in parametric survival analysis. It can handle both increasing and decreasing hazard rates, depending on its shape parameter...
797
Introduction to Logarithmic Functions01:14

Introduction to Logarithmic Functions

65
Logarithmic functions are the inverses of exponential functions and are used to solve for exponents. The general form is y = logₐ(x), where a > 0 and a ≠ 1. This function returns the power to which the base a must be raised to obtain x. The logarithmic function is only defined for x > 0, and its range includes all real numbers.Graphically, logarithmic and exponential functions are reflections of each other across the line y = x. The graph of y = logₐ(x) passes through...
65
Expected Frequencies in Goodness-of-Fit Tests01:19

Expected Frequencies in Goodness-of-Fit Tests

5.0K
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).
5.0K

You might also read

Related Articles

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

Sort by
Same author

Effects of ascorbic acid addition on the oxidative stress response of Oryza sativa L. plants to As(V) exposure.

Plant physiology and biochemistry : PPB·2022
Same author

The aroma of La Mancha Chelva wines: Chemical and sensory characterization.

Food research international (Ottawa, Ont.)·2019
Same author

Replication of PTPRC as genetic biomarker of response to TNF inhibitors in patients with rheumatoid arthritis.

The pharmacogenomics journal·2015
Same author

Indole-3-methanol is the main product of the oxidation of indole-3-acetic acid catalyzed by two cytosolic basic isoperoxidases from Lupinus.

Planta·2013
Same author

Distribution of isoflavones in lupin hypocotyls. Possible control of cell wall peroxidase activity involved in lignification.

Physiologia plantarum·2010
Same author

Nonsuppressed ion chromatographic determination of total calcium in milk.

Journal of dairy science·2010

Related Experiment Video

Updated: Nov 11, 2025

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

651

Sigma-Lognormal Modeling of Speech.

C Carmona-Duarte1, M A Ferrer1, R Plamondon2

  • 1Instituto Universitario Para El Desarrollo Tecnológico Y La Innovación en Comunicaciones, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain.

Cognitive Computation
|March 31, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a novel speech kinematics model, adapting handwriting movement theories. The model successfully links speech parameters to aging and formant proportions, enabling new insights into speech production.

Keywords:
AgingKinematic theory of rapid human movementsModeling of the neuromotor systemSigma-lognormal modelSpeech kinematicsSpeech processing

More Related Videos

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

1.8K
Analysis and Specification of Starch Granule Size Distributions
08:46

Analysis and Specification of Starch Granule Size Distributions

Published on: March 4, 2021

5.4K

Related Experiment Videos

Last Updated: Nov 11, 2025

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

651
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

1.8K
Analysis and Specification of Starch Granule Size Distributions
08:46

Analysis and Specification of Starch Granule Size Distributions

Published on: March 4, 2021

5.4K

Area of Science:

  • Biomechanics
  • Speech Science
  • Neuromuscular Modeling

Background:

  • Human movement analysis is crucial across diverse scientific fields.
  • Existing speech motor models struggle with inverse approaches, like deriving muscular parameters from speech.
  • Handwriting research successfully uses kinematic theory and the Sigma-lognormal model for muscular parameter extraction.

Purpose of the Study:

  • To present a simplified speech kinematics-based model for studying, analyzing, and reconstructing complex speech movements.
  • To adapt the kinematic theory of rapid human movements and the Sigma-lognormal model for speech analysis.
  • To investigate the relationship between extracted speech parameters, aging, and formant proportions.

Main Methods:

  • Applied the kinematic theory of rapid human movements and the Sigma-lognormal model to speech.
  • Described and parameterized the asymptotic impulse response of speech neuromuscular networks.
  • Developed a method for transforming formant data into observable movement parameters.
  • Utilized the VTR-TIMIT (English) and Saarbrucken Voice Database (German) for experiments.

Main Results:

  • Corroborated a link between extracted kinematic parameters and the aging process.
  • Confirmed a relationship between formant proportions and the application of the kinematic theory.
  • Demonstrated the model's ability to analyze speech kinematics in diverse populations (age, laryngeal pathologies).

Conclusions:

  • The developed speech kinematics model offers a simplified approach to analyzing complex speech movements.
  • The findings support the applicability of handwriting movement theories to speech production.
  • Results pave the way for innovative developments in speech modeling, analysis, and understanding age-related speech changes.