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Does Musical Experience Facilitate Phonetic Accommodation During Human-Robot Interaction?

Yitian Hong1, Si Chen1,2,3,4, Han Jiang1

  • 1Department of Chinese and Bilingual Studies, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China.

Journal of Speech, Language, and Hearing Research : JSLHR
|April 21, 2025
PubMed
Summary
This summary is machine-generated.

Musical training influences how second language speakers adjust their speech when talking to social robots. Musicians showed distinct prosodic adjustments, suggesting enhanced communication strategies.

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Area of Science:

  • Speech Science
  • Second Language Acquisition
  • Human-Robot Interaction

Background:

  • Phonetic accommodation is a key aspect of communication, involving adjustments in speech production.
  • Social robots are increasingly used in human-computer interaction, necessitating research into effective communication strategies.
  • The role of musical training in second language (L2) phonetic acquisition remains an area of active investigation.

Purpose of the Study:

  • To investigate the impact of musical training on phonetic accommodation in L2 English speakers interacting with a social robot.
  • To explore the motivations and strategies underlying phonetic accommodation in this context.
  • To compare phonetic accommodation patterns between musicians and non-musicians.

Main Methods:

  • Recruited 15 L2 English speakers with musical training (musician group) and 15 without (nonmusician group).
  • Conducted four conversational tasks with the social robot Furhat.
  • Analyzed spectral and prosodic cues of participants' speech production before and after interactions to quantify phonetic accommodations.

Main Results:

  • Both groups exhibited similar convergence in vowel formants toward the robot's speech.
  • The musician group showed greater divergence in prosodic cues (mean fundamental frequency, duration) compared to the nonmusician group.
  • No significant group differences were observed in vowel formant convergence.

Conclusions:

  • Findings suggest individuals adapt their speech to enhance communication efficiency with robots, potentially using a special speech register.
  • Musical training may enhance phonetic accommodation, particularly in prosodic aspects, possibly due to improved auditory attention and working memory.
  • Results have implications for speech communication training and social robot design for therapeutic applications.