Data · dataset · 2020
Musician advantage for speech-on-speech perception
Listed in IISH Dataverse
This repository contains the raw data associated with the publication linked below.
Description
The dataset contains the demographics of the human participants (subjects.csv) and the scores they obtained in the experiment (scores.csv). The fields are described below: subjects.csv: Demographics of the participants. subject: The identification number of the participant. age: The age of the participant, in years. education: Education level, see the article for details. sex: Male or female. grp: The group ("musician" or "non-musician"). musical-training: Years of musical training. scores.csv: Intelligibility scores for the speech on speech task. id: The entry number. subject: The identification number of the participant. grp: The group ("musician" or "non-musician"). round: The block of testing. f0: The average fundamental frequency (f0) difference between target and masker, in semitones. vtl: The apparent vocal-tract length (VTL) difference between target and masker, in semitones. tmr: Target-to-masker ratio, in decibels. n_correct: Number of words reported correctly in this condition (across all sentences). n_words: Number of words presented in this condition (across all sentences). score: n_correct/n_words.
Links
Where it is published
- Dataverse dataset page dataverse.nl/dataset.xhtml?persistentId=doi%3A10.34894%2FUGAAVJ ↗
landing page · from datasets iisg amsterdam
- DOI doi.org/10.34894/ugaavj ↗
DOI / persistent id · from datasets iisg amsterdam
Catalogue records · 1
- Dataverse API dataverse.nl/api/datasets/:persistentId/?persistentId=doi%3A10.34894%2FUGAA… ↗
metadata API · from datasets iisg amsterdam
Topics
- Stated by source
- Medicine, Health and Life Sciences
- From keywords
- Life Sciences · Medicine & Health
- Inferred from text
- Allied health and rehabilitation science 69% · Audio 65%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| IISH Dataverse | doi:10.34894/UGAAVJ | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:4201 | enrichment · datasets iisg amsterdam | taxonomy-embedding@1.1.0 | title+keywords+description (69%) |
| concepts[field].dataverse_subject:medicine-health-and-life-sciences | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /subjects |
| concepts[field].local:field:life-sciences | mapping · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /subjects |
| concepts[field].local:field:medicine-health | mapping · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /subjects |
| concepts[modality].local:modality:audio | enrichment · datasets iisg amsterdam | keyword-concept-rules@1.0.0 | title+description (65%) |
| created_date | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | |
| description | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /description |
| publication_date | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | |
| title | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /name |
| updated_date | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | |
| version_label | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 |