VoxSafeBench: Not Just What Is Said, but Who, How, and Where
As speech language models (SLMs) transition from personal devices into shared, multi-user environments, their responses must account for far more than the words alone. Who is speaking, how they sound, and where the conversation takes place can each turn an otherwise benign request into one that is unsafe, unfair, or privacy-violating. Existing benchmarks, however, largely focus on basic audio comprehension, study individual risks in isolation, or conflate content that is inherently harmful with content that only becomes problematic due to its acoustic context. We introduce VoxSafeBench, among the first benchmarks to jointly evaluate social alignment in SLMs across three dimensions: safety...
| Authors | Yuxiang Wang, Hongyu Liu, Yijiang Xu et al. |
|---|---|
| Primary category | cs.SD |
| Published | 16 April 2026 |
| Last updated at source | 20 April 2026 |
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