Abstract: Introduced here are approaches to dynamically verifying the identity of an individual and assessing the health of the individual through objective, algorithmic characterizations of voice features derived from audio recordings created by the individual. These voice features may be paralinguistic features, non-linguistic features, or linguistic features. By characterizing these voice features, insights can be gleaned into how events represented in the audio recordings should be emotionally characterized. For example, for each audio recording created by the individual, a health management platform may calculate a valence measure that is based on the voice features established for that audio recording. These valence measures can be documented, for example, in a profile maintained for the individual, such that changes in health can be detected in a more reliable, quantitative manner.