Related Experiment Video
Updated: Aug 25, 2025

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
Published on: September 27, 2024
Examining the difference in error detection when listening to native and non-native speakers
Grace Sanders1, Angela de Bruin1
1Department of Psychology, University of York, York, UK.
Listeners process errors in foreign-accented speech more slowly. This includes grammatical mistakes and incorrect word choices, impacting language processing efficiency for non-native speakers.
Area of Science:
- Psycholinguistics
- Sociolinguistics
- Cognitive Science
Background:
- Increasing global communication involves non-native speakers.
- Understanding foreign-accented speech processing is crucial.
- Listeners may encounter grammatical or word-choice errors in non-native speech.
Purpose of the Study:
- To investigate how listeners process grammatical and word-choice errors.
- To compare error processing between native and non-native speakers.
- To determine the impact of non-native accents on language comprehension.
Main Methods:
- A self-paced listening task was employed.
- Reaction times to target words were measured.
- Participants processed sentences with no errors, grammatical errors, or word-choice errors, spoken by native and non-native speakers.
Main Results:
- Slower reaction times were observed for grammatical and word-choice errors compared to control sentences.
- Error processing was significantly slower for non-native speech.
- Both grammatical violations and contextual word-choice errors prolonged processing time.
Conclusions:
- Errors in non-native speech require additional processing time for listeners.
- Foreign-accented speech, particularly with errors, presents a greater challenge to language processing.
- These findings highlight the cognitive load associated with understanding non-native speakers.
Related Concept Videos
Types of Errors: Detection and Minimization
Absolute error in a measurement is the numerical difference from the true or central value. Relative error is the ratio between absolute error and the true or central value, expressed as a percentage.
Errors can be classified by source, magnitude, and sign. There are three types of errors: systematic, random, and gross.
Systematic or...
Detection of Gross Error: The Q Test
Difference from Background: Limit of Detection
The LOD indicates the presence or absence...
Fundamental Attribution Error
Systematic Error: Methodological and Sampling Errors
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
Accuracy and Errors in Hypothesis Testing
In hypothesis testing, the probability of making a Type I error, denoted as α, is commonly set at 0.05. This significance level indicates a 5%...

