University of Minnesota SALSA

Functionality & Mechanism

The University of Minnesota SALSA (System for Automated Language and Speech Analysis) is a research platform that automates the administration of cognitive assessments. After receiving a secure access code from a study coordinator, a participant logs in to download a protocol-specific test battery. The interface delivers stimuli (e.g., images, stories) and captures spoken responses for tasks such as picture description and story recall. All collected data is encrypted on the device and during secure transmission for server-side analysis.

Evidence & Research Context

• The system's design, detailed in an associated research article, automates cognitive test administration and scoring to address the limitations of manual methods.
• SALSA leverages an open-source automatic speech recognition engine to calculate a range of speech characteristics from participant responses.
• The platform is proposed for collecting data to assess cognitive function in conditions such as neurodegenerative disease, traumatic brain injury, and drug toxicity.
• This automated methodology is intended to enable large-scale data collection and longitudinal assessments that are challenging with manual administration.

Intended Use & Scope

SALSA is designed exclusively for researchers as a data collection instrument within Institutional Review Board-approved studies. Its primary utility is to facilitate the standardized administration of cognitive assessments. The system does not provide diagnostic outputs or clinical interpretations; all data requires analysis by qualified research personnel within a study's specific protocol.