Can we automatically detect changes in speech to detect cognitive changes? The Center for SMART Health is helping to develop and test digital technologies for cognitive testing in the context of benzo/z-drug tapering/insomnia treatment. Specifically, we are exploring the use of digital vocal biomarkers for assessing changes in cognition. This study is recruiting participants who will answer web-based tests with verbal responses. The voice data from their responses are collected and analyzed using machine learning algorithms, identifying potential patterns reflecting cognitive changes. We are also partnering with industry leaders to perform neurocognitive testing to provide real-time results in different areas, including: instant and delayed verbal memory, impulse control, attention, focus, emotion, identification, information processing speed, flexible thinking, working memory, executive function, visual learning, and spatial memory.