Summary of Machine Unlearning Reveals That the Gender-based Violence Victim Condition Can Be Detected From Speech in a Speaker-agnostic Setting, by Emma Reyner-fuentes et al.
Machine Unlearning reveals that the Gender-based Violence Victim Condition can be detected from Speech in a Speaker-Agnostic Setting
by Emma Reyner-Fuentes, Esther Rituerto-Gonzalez, Carmen Pelaez-Moreno
First submitted to arxiv on: 27 Nov 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: None
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This study investigates the effect of gender-based violence (GBV) on women’s mental well-being. GBV causes long-term negative consequences like anxiety, depression, post-traumatic stress disorder (PTSD), and substance abuse in victims. The authors explore AI-powered speech technologies for mental health assessments, but note that these tools struggle when encountering speakers whose voices were not used during training. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This study looks at how gender-based violence affects women’s mental health. It finds that GBV has a lasting impact on victims’ mental well-being, causing problems like anxiety and depression. The researchers also examine AI-powered speech technologies for helping with mental health assessments, but point out that these tools can struggle when they don’t have information about the person speaking. |
