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Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
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Predicting couple therapy outcomes based on speech acoustic features.

Md Nasir1, Brian Robert Baucom2, Panayiotis Georgiou1

  • 1Department of Electrical Engineering, University of Southern California, Los Angeles, United States of America.

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|September 22, 2017
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Summary
This summary is machine-generated.

Acoustic features from couples therapy conversations can predict relationship outcomes as accurately as human expert analysis. Combining vocal acoustics with behavioral codes further enhances prediction accuracy for marital success.

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Area of Science:

  • Computational psychology
  • Speech processing
  • Relationship science

Background:

  • Automated prediction of marital outcomes in couples therapy is challenging but valuable for clinical psychologists.
  • Computational methods using observable behaviors from spouse conversations offer objective insights into relationship dynamics.

Purpose of the Study:

  • To investigate if acoustic characteristics of spoken interactions in clinically distressed couples can predict therapy outcomes.
  • To assess the efficacy of vocal intonation and intensity as features for binary (improvement/no improvement) and multiclass (levels of change) relationship status recognition.

Main Methods:

  • Utilized acoustic speech signal characteristics (intonation, intensity) from each interlocutor, both independently and relationally.
  • Compared prediction performance against features derived from standardized, human-rated behavioral codes of relationship dynamics.
  • Employed data from a longitudinal clinical study of distressed couples.

Main Results:

  • Acoustic-based predictions of relationship outcomes were comparable or superior to those using human-rated behavioral codes.
  • Combining acoustic features with manually coded behavioral features generally improved prediction performance.
  • Analyzing vocal properties relationally (interlocutors' interactions) was more effective than analyzing them in isolation.

Conclusions:

  • Vocal acoustics offer a powerful, objective tool for assessing and predicting couples therapy outcomes.
  • The interplay between interlocutors' vocal characteristics is crucial for accurate automated prediction of relationship dynamics.
  • Acoustic and behavioral features are complementary, with their integration yielding superior predictive insights.