ISCA Archive Interspeech 2020
ISCA Archive Interspeech 2020

An Evaluation of Manual and Semi-Automatic Laughter Annotation

Bogdan Ludusan, Petra Wagner

With laughter research seeing a development in recent years, there is also an increased need in materials having laughter annotations. We examine in this study how one can leverage existing spontaneous speech resources to this goal. We first analyze the process of manual laughter annotation in corpora, by establishing two important parameters of the process: the amount of time required and its inter-rater reliability. Next, we propose a novel semi-automatic tool for laughter annotation, based on a signal-based representation of speech rhythm. We test both annotation approaches on the same recordings, containing German dyadic spontaneous interactions, and employing a larger pool of annotators than previously done. We then compare and discuss the obtained results based on the two aforementioned parameters, highlighting the benefits and costs associated to each approach.

doi: 10.21437/Interspeech.2020-2521

Cite as: Ludusan, B., Wagner, P. (2020) An Evaluation of Manual and Semi-Automatic Laughter Annotation. Proc. Interspeech 2020, 621-625, doi: 10.21437/Interspeech.2020-2521

  author={Bogdan Ludusan and Petra Wagner},
  title={{An Evaluation of Manual and Semi-Automatic Laughter Annotation}},
  booktitle={Proc. Interspeech 2020},