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Non-verbal communication extends beyond gestures and facial expressions to include vocal elements known as paralanguage. Paralanguage consists of non-verbal vocal cues such as pitch, loudness, speech rate, pauses, and non-verbal vocalizations like laughter, sighs, and moans. These elements not only accompany speech but also provide critical emotional and contextual information.The Role of Paralanguage in CommunicationParalanguage adds depth to spoken language by conveying emotions and...
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Charles Darwin proposed that facial expressions are an evolutionary adaptation for communication. He argued that these expressions are not influenced by culture but are universal across species. For example, a snarling expression with exposed teeth signals a threat in many animals, including humans. Darwin also suggested that displaying an emotion can intensify the feeling. Smiling, for example, could enhance one's sense of happiness. This idea laid the foundation for understanding the role...
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Altercasting is a strategic communication technique in which an individual imposes a specific identity or social role onto another person to influence their behavior and shape the interaction. By presuming a role—such as “responsible leader” or “patient person”—altercasting encourages the target to conform to that identity, often aligning their behavior with the expectations associated with the role. The power of this tactic lies in its subtlety; once a role...
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Children master language quickly and with relative ease, supported by both biological predisposition and reinforcement. B. F. Skinner (1957) proposed that language is learned through reinforcement, while Noam Chomsky (1965) argued that language acquisition mechanisms are biologically determined.
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Related Experiment Video

Updated: Nov 12, 2025

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
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Using Crowd-Sourced Speech Data to Study Socially Constrained Variation in Nonmodal Phonation.

Ben Gittelson1, Adrian Leemann2, Fabian Tomaschek3

  • 1Internet Institute, Oxford University, Oxford, United Kingdom.

Frontiers in Artificial Intelligence
|March 18, 2021
PubMed
Summary

This study analyzed nonmodal phonation in British English using smartphone recordings. Researchers discovered a link between education and voice production, confirming previous findings on gender differences in creaky voice.

Keywords:
British Englishphonationregional variationsmartphone appsvoice quality

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Area of Science:

  • Linguistics
  • Phonetics
  • Sociolinguistics

Background:

  • Nonmodal phonation, including breathy and creaky voice, is a key area in phonetic research.
  • Previous studies on nonmodal phonation have often relied on smaller, less diverse datasets.
  • Understanding variations in nonmodal phonation is crucial for comprehensive phonetic analysis.

Purpose of the Study:

  • To investigate the prevalence and characteristics of nonmodal phonation in British English.
  • To explore potential correlations between nonmodal phonation and sociodemographic factors, such as education level.
  • To validate the use of novel data collection methods, like smartphone recordings, for large-scale phonetic studies.

Main Methods:

  • Utilized smartphone recordings from over 2,500 British English speakers.
  • Analyzed acoustic correlates including fundamental frequency, H1*-H2*, cepstral peak prominence, and harmonic-to-noise ratio.
  • Employed crowd-sourced data collection for a large and diverse sample.

Main Results:

  • Identified a novel relationship between speakers' education level and their production of nonmodal phonation.
  • Confirmed previous findings on the higher prevalence of creaky voice in male speakers compared to female speakers.
  • Demonstrated that established patterns of nonmodal phonation hold true for a significantly larger and more diverse population.

Conclusions:

  • Smartphone recordings offer a viable and effective method for collecting large-scale phonetic data.
  • Sociodemographic factors, such as education, play a role in the production of nonmodal phonation.
  • The study validates and extends previous research on nonmodal phonation, reinforcing its findings with a robust dataset.