Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Wave Parameters

Wave Parameters

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...

Root Mean Square

Root Mean Square

If in an experiment, data values have a probability of being both positive and negative, neither the arithmetic mean, the geometric mean, nor the harmonic mean can be used to calculate the central tendency of the data set. In particular, if the positive and negative values are equally likely, the arithmetic mean is close to zero.
For example, consider the velocity of gas molecules in a container. The gas molecules are moving in different directions, which might impart positive and negative...

Reconstruction of Signal using Interpolation

Reconstruction of Signal using Interpolation

Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next sampling...

Instrument Calibration

Instrument Calibration

Instrument calibration is essential for ensuring that instruments produce accurate and consistent results. It is vital in manufacturing, healthcare, testing laboratories, and scientific research. Calibration processes are specific to each instrument and help enhance data accuracy. Each instrument has a unique calibration process tailored to its design and function to improve data accuracy.
Analytical Balance Calibration
An analytical balance measures mass and requires regular calibration to...

Pulse amplitude and quality

Pulse amplitude and quality

Pulse amplitude is a crucial indicator of cardiac health because it provides valuable insights into the strength of left ventricular contractions and the overall uniformity of blood circulation within the vasculature. The strength of the pulse is directly related to the force with which the heart contracts and the volume of blood being pumped.
A weak or absent pulse may indicate reduced cardiac output or poor left ventricular contraction, which can be signs of cardiovascular dysfunction or...

Intensity and Pressure of Sound Waves

Intensity and Pressure of Sound Waves

The intensity of sound waves can be related to displacement and pressure amplitudes by using their wave expressions and the definition of intensity. The critical step to achieve this is to write the power delivered by the particles on the wave as the product of force and velocity and simplify the force per unit area as the pressure. The velocity of the medium's particles can be derived from the displacement.
Unlike the time average of a sinusoidal term, which is zero since it is positive and...

You might also read

Related Articles

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

Sort by

Same author

FFEM-DB 2.0: an updated and extended spatio-temporal dataset of flood fatalities occurred from 1980 to 2024 in the Euro-Mediterranean region.

Scientific data·2026

Same author

Assessment of quantitative zonal parameters of prostate gland in discrimination of normal, benign, and malignant conditions: are these the more reliable parameters in the diagnosis of prostate cancer?

European review for medical and pharmacological sciences·2023

Same author

Dosimetric comparison of free-breathing versus respiratory motion-managed radiotherapy via four-dimensional computed tomography-based volumetric-modulated arctherapy for lung cancer.

Cancer radiotherapie : journal de la Societe francaise de radiotherapie oncologique·2023

Same author

Endometrial carcinoma detection with 3.0 Tesla imaging: which sequence is more useful.

European review for medical and pharmacological sciences·2022

Same author

First Report of Ascochyta rabiei Causing Ascochyta Blight of Cicer pinnatifidum.

Plant disease·2019

Same author

Primary mucinous carcinoma of the vulva with signet ring cells deriving from the cloaca.

European journal of gynaecological oncology·2018

Search research articles

Related Experiment Video

Updated: Jun 2, 2026

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Published on: September 27, 2024

Smoothing factor and voice perturbation measurements.

A Kahraman¹, M A Kiliç, Yildirim

¹Department of Otolaryngology, Malazgirt State Hospital, Turkey. alikahraman6@hotmail.com

B-ENT

|May 14, 2011

Summary

The smoothing factor size directly impacts voice perturbation measurements like jitter and shimmer. Larger smoothing factors increase these measures, making them more sensitive to long-term vocal variations.

Area of Science:

Speech science
Acoustic phonetics
Voice analysis

Background:

Jitter and shimmer measure voice perturbation but are sensitive to variations from intonation or instability.
These parameters are calculated using a smoothing factor, which averages successive periods.

Purpose of the Study:

To investigate how different smoothing factor sizes affect frequency and amplitude perturbation measurements.
To understand the relationship between smoothing factor size and voice perturbation quantification.

Main Methods:

Recorded voice samples from 20 healthy adults (10 male, 10 female).
Analyzed samples using the Multi Dimensional Voice Program for Multi-Speech.
Tested 28 different smoothing factor sizes, from low values up to 21, and then in steps of ten.

More Related Videos

Memorization-Based Training and Testing Paradigm for Robust Vocal Identity Recognition in Expressive Speech Using Event-Related Potentials Analysis

Memorization-Based Training and Testing Paradigm for Robust Vocal Identity Recognition in Expressive Speech Using Event-Related Potentials Analysis

Published on: August 9, 2024

Related Experiment Videos

Last Updated: Jun 2, 2026

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Published on: September 27, 2024

Memorization-Based Training and Testing Paradigm for Robust Vocal Identity Recognition in Expressive Speech Using Event-Related Potentials Analysis

Memorization-Based Training and Testing Paradigm for Robust Vocal Identity Recognition in Expressive Speech Using Event-Related Potentials Analysis

Published on: August 9, 2024

Main Results:

Smoothed pitch perturbation quotient and smoothed amplitude perturbation quotient increased with larger smoothing factor sizes.
Significant correlations were found between smoothing factor size and perturbation measures in both males and females.

Conclusions:

An exact relationship exists between smoothing factor values and voice perturbation measures.
Low smoothing factors capture short-term variations, while high factors capture long-term variations in voice signals.