Audio-visual modelling in a clinical setting.

ABSTRACT: Auditory and visual signals are two primary perception modalities that are usually present together and correlate with each other, not only in natural environments but also in clinical settings. However, audio-visual modelling in the latter case can be more challenging, due to the different sources of audio/video signals and the noise (both signal-level and semantic-level) in auditory signals-usually speech audio. In this study, we consider audio-visual modelling in a clinical setting, providing a solution to learn medical representations that benefit various clinical tasks, without relying on dense supervisory annotations from human experts for the model training. A simple yet effective multi-modal self-supervised learning framework is presented for this purpose. The proposed approach is

SUBMITTER: Jiao J 

PROVIDER: S-EPMC11227581 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature