2020
DOI: 10.48550/arxiv.2006.00848
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

A time-scale modification dataset with subjective quality labels

Timothy Roberts,
Kuldip K. Paliwal
Help me understand this report
View published versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2020
2020
2020
2020

Publication Types

Select...
1

Relationship

1
0

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 16 publications
(27 reference statements)
0
1
0
Order By: Relevance
“…Normalizing was found to slightly extend the range of the SMOS values, with higher ratings for high quality files, and lower ratings for low quality files. Given the ITU-T (2019) recommendation of normalization, and the improvement in all metrics after normalization (Roberts and Paliwal, 2020), the final proposed objective measure of quality was trained to normalized SMOS using features aligned using interpolation to test, including reference files.…”
Section: B Network Performancementioning
confidence: 99%
“…Normalizing was found to slightly extend the range of the SMOS values, with higher ratings for high quality files, and lower ratings for low quality files. Given the ITU-T (2019) recommendation of normalization, and the improvement in all metrics after normalization (Roberts and Paliwal, 2020), the final proposed objective measure of quality was trained to normalized SMOS using features aligned using interpolation to test, including reference files.…”
Section: B Network Performancementioning
confidence: 99%