Philippa Demonte
Speech-To-Screen collated correct word percentages
Demonte, Philippa; Tang, Yan; Hughes, Richard James; Cox, Trevor John; Fazenda, Bruno Miguel; Shirley, Ben Guy
Authors
Yan Tang
Richard James Hughes
Prof Trevor Cox T.J.Cox@salford.ac.uk
Professor
Dr Bruno Fazenda B.M.Fazenda@salford.ac.uk
Associate Professor/Reader
Dr Ben Shirley B.G.Shirley@salford.ac.uk
Associate Professor/Reader
Abstract
.txt file containing results from the 'Speech-To-Screen listening experiment collated as correct word percentages.
20 x participants (s1-s20)
16 x combination of conditions tested per participant:
- 2 x masking noise types: SSN and SMN
- 2 x video conditions: off and on
- 4 x auralizations: INT, SN, NS, and EXT
20 x speech-in-noise sentences played per combination of condition per participant.
Participants entered letter-number pairs (target words; data collected) for each sentence played.
Correct word scores applied:
* 1.0 if both letter and number correctly entered
* 0.5 if either the letter or the number correctly entered
* 0.0 if both letter and number incorrectly entered
For each combination of conditions and each participant:
* correct word scores summed and averaged out of 20
* converted to percentages
See also Read Me .txt file and zip folder containing raw data from Speech-To-Screen listening experiment
Online Publication Date | May 3, 2022 |
---|---|
Publication Date | May 3, 2022 |
Deposit Date | Jan 27, 2025 |
DOI | https://doi.org/10.17866/rd.salford.6724727.v1 |
Publisher URL | https://salford.figshare.com/articles/dataset/Speech-To-Screen_collated_correct_word_percentages/6724727 |
Collection Date | May 3, 2022 |
You might also like
Improving the measurement and acoustic performance of transparent face masks and shields
(2022)
Journal Article
Using scale modelling to assess the prehistoric acoustics of stonehenge
(2020)
Journal Article
Fast speech intelligibility estimation using a neural network trained via distillation
(2020)
Presentation / Conference
Pupil dilation reveals changes in listening effort due to energetic and informational masking
(2019)
Presentation / Conference