| Literature DB >> 35297013 |
Peter W Donhauser1,2, Denise Klein3,4.
Abstract
Here we describe a JavaScript toolbox to perform online rating studies with auditory material. The main feature of the toolbox is that audio samples are associated with visual tokens on the screen that control audio playback and can be manipulated depending on the type of rating. This allows the collection of single- and multidimensional feature ratings, as well as categorical and similarity ratings. The toolbox ( github.com/pwdonh/audio_tokens ) can be used via a plugin for the widely used jsPsych, as well as using plain JavaScript for custom applications. We expect the toolbox to be useful in psychological research on speech and music perception, as well as for the curation and annotation of datasets in machine learning.Entities:
Keywords: Auditory perception; JavaScript; Online experiments; Rating
Year: 2022 PMID: 35297013 DOI: 10.3758/s13428-022-01803-w
Source DB: PubMed Journal: Behav Res Methods ISSN: 1554-351X