Search

The search found 1 result in 0.097 seconds.

Search results

1. Mining Linguistic Content from Vast Audio and Video Archives for Multimodal Poetry

   This 20-minute presentation highlights research conducted as a Fellow in the MIT Open Documentary Lab developing a methodology and software for parsing linguistic and semantic information from vast quantities of audio and video files for playback and synchronization across networked computers. The presentation will focus on the expressive potential of this methodology to create new forms of multi-modal digital poems. The goal of this research is to extend recent advances in computational text analysis of written materials to the realm of audio and video media for use in a variety of different language centered media production contexts. This methodology and software provides the ability to parse vast quantities of audio and video files for topics, parts of speech, phonetic content, sentiment, passive/active voice and language patterns and then playback the video or audio content of the search for consideration in an aesthetic context. Queries that are intriguing can be saved and sequenced for playback as a poetic remix of linguistic patterns on one or multiple monitors.

   Vian Rasheed - 14.11.2019 - 01:25