Beyond audio, video, and language, other modalities that could be incorporated to further improve the learning of sounding actions include:
Depth Information: Depth data can provide spatial information about the scene, allowing the model to understand the distance between objects and individuals. This can help in associating specific sounds with actions based on their spatial relationships.
Inertial Sensors: Incorporating data from inertial sensors worn by individuals can provide information about their movements and gestures. This data can help in capturing subtle actions that may not be clearly visible in the video.
Environmental Sensors: Including data from environmental sensors such as temperature or humidity sensors can provide context about the surroundings in which the actions are taking place. This information can help in understanding how the environment influences the sounds produced during actions.
By integrating these additional modalities, the model can create a more comprehensive representation of sounding actions, capturing a wider range of contextual information to improve the learning process.