Machine Generation of Audio Description for Blind and Visually Impaired People

Abstract

Automating the generation of audio descriptions (AD) for blind and visually impaired (BVI) people is a difficult task, since it has several challenges involved, such as: identifying gaps in dialogues; describing the essential elements; summarizing and fitting the descriptions into the dialogue gaps; generating an AD narration track, and synchronizing it with the main soundtrack. In our previous work (Campos et al. [6]), we propose a solution for automatic AD script generation, named CineAD, which uses the movie’s script as a basis for the AD generation. This article proposes extending this solution to complement the information extracted from the script and reduce its dependency based on the classification of visual information from the video. To assess the viability of the proposed solution, we implemented a proof of concept of the solution and evaluated it with 11 blind users. The results showed that the solution could generate a more succinct and objective AD but with a similar users’ level of understanding compared to our previous work. Thus, the solution can provide relevant information to blind users using less video time for descriptions.