Name
Title | ||
|---|---|---|
Analysis of gender and identity issues in depression detection on de-identified speech |
Abstract | ||
|---|---|---|
•Depression detection tools can help to remotely monitor the patients’ mental state.•Speaker de-identification allows the protection of patients’ privacy.•Depression detection with different speaker de-identification techniques is evaluated.•Gender-dependent de-identification leads to better depression detection results.•Speaker-dependent de-identification do not outperform speaker-independent approaches. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.csl.2020.101118 | Computer Speech & Language |
Keywords | DocType | Volume |
Speaker de-identification,Depression detection,Voice conversion,Frequency warping and amplitude scaling,Generative adversarial networks | Journal | 65 |
ISSN | Citations | PageRank |
0885-2308 | 0 | 0.34 |
References | Authors | |
0 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Paula Lopez-Otero | 1 | 64 | 13.18 |
| Laura Docio-Fernandez | 2 | 20 | 4.00 |