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

Standing Waves01:17

Standing Waves

5.0K
Sometimes waves do not seem to move; rather, they just vibrate in place. Unmoving waves can be seen on the surface of a glass of milk kept in a refrigerator, which is one example of standing waves. Vibrations from the refrigerator motor create waves on the milk that oscillate up and down but do not seem to move across the surface. These waves are formed or created by the superposition of two or more identical moving waves in opposite directions. The waves move through each other, with their...
5.0K
Modes of Standing Waves: II01:04

Modes of Standing Waves: II

1.3K
The starting point for expressing the modes of standing waves is understanding the boundary conditions that the waves must follow. The boundary conditions are derived from the physical understanding of how the standing waves are sustained, that is, how the vibrating particles of the medium behave at the boundaries imposed on them.
For a tube open at one end and closed at the other filled with air, the modes are such that there is always an antinode at the open end and a node at the closed end....
1.3K
Effective Value of a Periodic Waveform01:07

Effective Value of a Periodic Waveform

918
The concept of effective value, the root mean square (RMS) value, is crucial in understanding electrical circuits and power delivery. This idea emerges from the necessity to measure the effectiveness of a voltage or current source in supplying power to a resistive load.
The effective value of a periodic current represents the direct current (DC) that conveys the same average power to a resistor as the periodic current itself. This concept is crucial when assessing AC circuits. To determine the...
918
Modes of Standing Waves - I01:03

Modes of Standing Waves - I

3.5K
A close look at earthquakes provides evidence for the conditions appropriate for resonance, standing waves, and constructive and destructive interference. A building may vibrate for several seconds with a driving frequency matching the building's natural frequency of vibration; this produces a resonance that results in one building collapsing while the neighboring buildings do not. Often, buildings of a certain height are devastated, while other taller buildings remain intact. This...
3.5K
Wave Parameters01:10

Wave Parameters

8.7K
The simplest mechanical waves are associated with simple harmonic motion and repeat themselves for several cycles. These simple harmonic waves can be modeled using a combination of sine and cosine functions. Consider a simplified surface water wave that moves across the water's surface. Unlike complex ocean waves, in surface water waves, water moves vertically, oscillating up and down, whereas the disturbance of the wave moves horizontally through the medium. If a seagull is floating on the...
8.7K
IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations01:08

IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations

1.5K
Identical bonds within a polyatomic group can stretch symmetrically (in-phase) or asymmetrically (out-of-phase). Similar to hydrogen bonding, these vibrations also influence the shape of the IR peak. Generally, asymmetric stretching frequencies are higher than symmetric stretching frequencies. For example, primary amines exhibit two distinct IR peaks between 3300–3500 cm−1 corresponding to the symmetric and asymmetric N-H stretching, while secondary amines exhibit a single...
1.5K

You might also read

Related Articles

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

Sort by
Same author

How Network Structure Shapes Languages: Disentangling the Factors Driving Variation in Communicative Agents.

Cognitive science·2024
Same author

Histological and magnetic resonance imaging assessment of Liqoseal in a spinal in vivo pig model.

Animal models and experimental medicine·2022
Same author

The Sutureless Excimer Laser Anastomosis Clip Pilot Study: a feasibility and safety study.

Acta neurochirurgica·2022
Same author

Spinal fixation after laminectomy in pigs prevents postoperative spinal cord injury.

Animal models and experimental medicine·2022
Same author

Evolutionary Dynamics Do Not Motivate a Single-Mutant Theory of Human Language.

Scientific reports·2020
Same author

Evolution of Speech: Anatomy and Control.

Journal of speech, language, and hearing research : JSLHR·2019

Related Experiment Video

Updated: Nov 27, 2025

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

8.7K

Detrending the Waveforms of Steady-State Vowels.

Marnix Van Soom1, Bart de Boer1

  • 1Artificial Intelligence Laboratory, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium.

Entropy (Basel, Switzerland)
|December 8, 2020
PubMed
Summary

This study introduces a Bayesian, pitch-synchronous method for estimating vowel formants. It accurately models vocal tract acoustics by detrending waveforms to separate glottal pulse effects from formant frequencies.

Keywords:
acoustic phoneticsdetrendingformantmodel averagingnested samplingprobability theorysource-filter theorysteady-stateuncertainty quantificationvowel

More Related Videos

Hemi-laryngeal Setup for Studying Vocal Fold Vibration in Three Dimensions
10:13

Hemi-laryngeal Setup for Studying Vocal Fold Vibration in Three Dimensions

Published on: November 25, 2017

11.3K
Measurements of Waves in a Wind-wave Tank Under Steady and Time-varying Wind Forcing
08:54

Measurements of Waves in a Wind-wave Tank Under Steady and Time-varying Wind Forcing

Published on: February 13, 2018

8.9K

Related Experiment Videos

Last Updated: Nov 27, 2025

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

8.7K
Hemi-laryngeal Setup for Studying Vocal Fold Vibration in Three Dimensions
10:13

Hemi-laryngeal Setup for Studying Vocal Fold Vibration in Three Dimensions

Published on: November 25, 2017

11.3K
Measurements of Waves in a Wind-wave Tank Under Steady and Time-varying Wind Forcing
08:54

Measurements of Waves in a Wind-wave Tank Under Steady and Time-varying Wind Forcing

Published on: February 13, 2018

8.9K

Area of Science:

  • Acoustics
  • Speech Science
  • Signal Processing

Background:

  • Steady-state vowels feature quasi-periodic waveforms reflecting vocal tract configuration.
  • Pitch-synchronous methods analyze these waveforms using pitch periods as a time scale.
  • Existing methods may not fully account for low-frequency content from glottal pulses.

Purpose of the Study:

  • To present a simple, pitch-synchronous Bayesian method for estimating vowel formants.
  • To generalize existing formant estimation by incorporating glottal pulse effects.
  • To efficiently detrend steady-state vowel waveforms.

Main Methods:

  • Modeled pitch periods as decaying sinusoids representing formants.
  • Added a polynomial trend function to account for low-frequency glottal pulse content.
  • Employed a Bayesian approach for parameter estimation.

Main Results:

  • Developed an efficient method for detrending steady-state vowel waveforms.
  • Successfully separated formant-related sinusoids from the glottal pulse trend.
  • Demonstrated a generalized approach to pitch-synchronous formant estimation.

Conclusions:

  • The proposed Bayesian method offers improved formant estimation by accounting for glottal pulse artifacts.
  • Detrending vowel waveforms is an effective strategy for separating acoustic components.
  • This technique provides a more accurate analysis of vocal tract configurations from speech signals.