Supervised Speaker Diarization Using Random Forests: A Tool for Psychotherapy Process Research.
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ABSTRACT:
SUBMITTER: Furer L
PROVIDER: S-EPMC7399377 | biostudies-literature | 2020
REPOSITORIES: biostudies-literature
Publications
Supervised Speaker Diarization Using Random Forests: A Tool for Psychotherapy Process Research.
Fürer Lukas L Schenk Nathalie N Roth Volker V Steppan Martin M Schmeck Klaus K Zimmermann Ronan R
Frontiers in psychology 20200728
Speaker diarization is the practice of determining who speaks when in audio recordings. Psychotherapy research often relies on labor intensive manual diarization. Unsupervised methods are available but yield higher error rates. We present a method for supervised speaker diarization based on random forests. It can be considered a compromise between commonly used labor-intensive manual coding and fully automated procedures. The method is validated using the EMRAI synthetic speech corpus and is mad ...[more]
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