Name
Abstract | ||
|---|---|---|
This paper describes a Large Sleepy Reading Corpus (LSRC) based on sleep deprivation data (N=402; total duration 22 h). During the sleep deprivation, a standardized self-report scale was used just before the recordings to determine the sleepiness state. The speech material consisted of different reading passages. In order to investigate sleepiness induced speech changes, a standard set of spectral and prosodic features was extracted from recordings. After applying a standard openSMILE feature set, and a SVM regression we achieved correlation coefficients of .44 for male and .53 for female speaker. |
Year | Venue | Field |
|---|---|---|
2016 | Speech Communication; 12. ITG Symposium | Communication,Psychology,Speech recognition |
DocType | ISBN | Citations |
Conference | 978-3-8007-4275-2 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jarek Krajewski | 1 | 342 | 21.30 |
| Sebastian Schnieder | 2 | 247 | 11.79 |
| Christopher Monschau | 3 | 0 | 0.34 |
| Raphael Titt | 4 | 0 | 0.34 |
| David Sommer | 5 | 0 | 0.34 |
| Martin Golz | 6 | 46 | 10.68 |