Related Experiment Video
Updated: Aug 13, 2026

09:09
Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
Published on: September 27, 2024
Distributional and stylistic variation in /r/-misarticulations: a case study
Martin J Ball1, Orla Lowry, Lisa McInnis
1Department of Communicative Disorders, University of Louisiana at Lafayette, LA 70504-3170, USA. mjball@louisiana.edu
Clinical Linguistics & Phonetics
|January 24, 2006
Summary
This case study explores unique variations in producing the English /r/ sound, influenced by word position and speaking style. Potential causes and speech therapy approaches are discussed.
Area of Science:
- Phonetics and Phonology
- Speech-Language Pathology
Background:
- Understanding the phonetic realization of English /r/ is crucial for speech-language pathology.
- Variability in phoneme production can present diagnostic and therapeutic challenges.
Observation:
- A client exhibited distinct patterns in producing the target English /r/ phoneme.
- These patterns differed based on the phoneme's position within a word.
- Utterance style also influenced the realization of the /r/ sound.
Findings:
- The client's /r/ productions showed context-dependent variation.
- Both lexical distribution and prosodic factors played a role in phoneme realization.
- Analysis suggests underlying phonological processes influencing /r/ production.
Implications:
- Findings inform differential diagnosis of speech sound disorders.
- Potential therapeutic targets for /r/ remediation can be identified.
- Case studies contribute to the broader understanding of speech sound acquisition and variation.
Related Concept Videos
Lateralization
Brain lateralization refers to the division of mental processes and functions between the two hemispheres of the brain, a phenomenon that optimizes neural efficiency and underpins complex abilities in humans. This specialization allows each hemisphere to perform tasks where it has a comparative advantage, facilitating more refined cognitive capabilities across different domains.
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...
The range is a simple measure of variability, indicating the difference between the highest and...
