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

Sampling Methods: Overview

Sampling Methods: Overview

A sample refers to a smaller subset representative of a larger population. In analytical chemistry, studying or analyzing an entire population is often impractical or impossible. Therefore, samples are used to draw inferences and generalize the whole population. The sampling method selects individuals or items from a population to create a sample. Standard sampling methods include random, judgemental, systematic, stratified, and cluster sampling.
In analytical chemistry, the choice of sampling...

Testing a Claim about Standard Deviation

Testing a Claim about Standard Deviation

A complete procedure to test a claim about population standard deviation or population variance is explained here.
The hypothesis testing for the claim of population standard deviation (or variance) requires the data and samples to be random and unbiased. The population distribution also must be normal. There is no specific requirement on the sample size as the estimation is based on the chi-square distribution.
As a first step, the hypothesis (null and alternative) concerning the claim about...

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...

Variability: Analysis

Variability: Analysis

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...

Sampling Methods: Sample Types

Sampling Methods: Sample Types

Sampling materials are classified into three main types: solid, liquid, and gas.
Solid samples include a variety of substances, such as sediments from water bodies, soil, metals, and biological tissues. Two standard methods for extracting sediments from water bodies are grab sampling and piston coring. Grab sampling involves using a device to collect a discrete sediment sample from the bottom of a water body with minimal disturbance. Grab samples do not always represent the entire area due to...

Statistical Analysis: Overview

Statistical Analysis: Overview

When we take repeated measurements on the same or replicated samples, we will observe inconsistencies in the magnitude. These inconsistencies are called errors. To categorize and characterize these results and their errors, the researcher can use statistical analysis to determine the quality of the measurements and/or suitability of the methods.
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...

You might also read

Related Articles

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

Sort by

Same author

Introduction to the Special Issue on Iconicity and Sound Symbolism.

The Journal of the Acoustical Society of America·2025

Same author

Effects of laryngeal manipulations on voice gender perception.

Interspeech·2025

Same author

Biological, linguistic, and individual factors govern voice qualitya).

The Journal of the Acoustical Society of America·2025

Same author

Information conveyed by voice qualitya).

The Journal of the Acoustical Society of America·2024

Same author

Acoustic voice variation in spontaneous speech.

The Journal of the Acoustical Society of America·2022

Same author

Speaker discrimination performance for "easy" versus "hard" voices in style-matched and -mismatched speech.

The Journal of the Acoustical Society of America·2022

Search research articles

Related Experiment Video

Updated: Jun 6, 2026

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

Comparing two methods for reducing variability in voice quality measurements.

Jody Kreiman¹, Bruce R Gerratt

¹University of California, Los Angeles, USA. jkreiman@ucla.edu

Journal of Speech, Language, and Hearing Research : JSLHR

|November 18, 2010

Summary

This summary is machine-generated.

Averaging multiple voice quality ratings and standardizing them does not adequately resolve interrater disagreements. Consistent perceptual strategies were only seen with the method-of-adjustment task.

More Related Videos

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

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

Related Experiment Videos

Last Updated: Jun 6, 2026

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

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

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

Area of Science:

Speech and Hearing Sciences
Acoustic Phonetics
Perceptual Voice Analysis

Background:

Interrater reliability in voice quality assessment is a significant challenge.
Variability in listener perception affects the validity of voice quality studies.
Existing methods for standardizing perceptual data have limitations.

Purpose of the Study:

To compare two methods for handling interrater variability in voice quality ratings.
To evaluate the effectiveness of averaging and standardizing breathiness ratings.
To investigate listener perceptual strategies in voice quality evaluation.

Main Methods:

Listeners provided multiple breathiness ratings for pathological voices.
Ratings were averaged, z-transformed, and agreement likelihood was calculated.
Multidimensional scaling examined listener perceptual strategies; results compared to method-of-adjustment task.

Main Results:

No main effect of averaging condition on agreement was found.
Significant residual differences in perceptual strategies persisted after averaging and standardizing.
Method-of-adjustment task showed high agreement and consistent strategies.

Conclusions:

Averaging multiple ratings and standardizing means are insufficient to address voice quality perception variations.
The method-of-adjustment task offers a more reliable approach for consistent voice quality assessment.
Further research is needed to develop robust methods for voice quality analysis.