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Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
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Supervised Speaker Diarization Using Random Forests: A Tool for Psychotherapy Process Research.

Lukas Fürer1, Nathalie Schenk1, Volker Roth2

  • 1Clinic for Children and Adolescents, University Psychiatric Clinic, Basel, Switzerland.

Frontiers in Psychology
|August 28, 2020
PubMed
Summary
This summary is machine-generated.

We developed a supervised speaker diarization method using random forests, offering a balance between manual and automated approaches. This technique achieves low error rates, improving audio analysis in psychotherapy research.

Keywords:
EMRAI speech corpusdyadic audio analysispsychotherapy process measurerandom forestsupervised speaker diarization

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Area of Science:

  • Speech processing
  • Computational linguistics
  • Psychology

Background:

  • Speaker diarization is crucial for analyzing audio recordings, particularly in psychotherapy research.
  • Manual diarization is accurate but time-consuming.
  • Existing unsupervised methods have higher error rates.

Purpose of the Study:

  • To present a supervised speaker diarization method using random forests.
  • To offer a more efficient alternative to manual coding and fully automated systems.
  • To validate the method's performance and make it publicly available.

Main Methods:

  • Developed a supervised speaker diarization system utilizing random forests.
  • Validated the method on the EMRAI synthetic speech corpus.
  • Ensured the method is publicly accessible for research use.

Main Results:

  • The supervised speaker diarization method achieved low error rates.
  • Mean diarization error rate (M) was 5.61% with a standard deviation (STD) of 2.19%.
  • The results indicate high accuracy and reliability.

Conclusions:

  • Supervised speaker diarization presents a promising, efficient approach for psychotherapy research.
  • This method balances accuracy and automation needs.
  • The publicly available tool can advance audio analysis in related fields.