Assessing voice health using smartphones: bias and random error of acoustic voice parameters captured by different smartphone types
- Submitting institution
-
Queen Margaret University, Edinburgh
- Unit of assessment
- 26 - Modern Languages and Linguistics
- Output identifier
- 0A/01/26
- Type
- D - Journal article
- DOI
-
10.1111/1460-6984.12457
- Title of journal
- International Journal of Language & Communication Disorders
- Article number
- -
- First page
- 292
- Volume
- 54
- Issue
- 2
- ISSN
- 1368-2822
- Open access status
- Compliant
- Month of publication
- -
- Year of publication
- 2019
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
3
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- -
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
