Development of Process for Generating Thai Audio Image Description
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Abstract
The motivation for this research began with the requirement to develop a tool for visually impaired and blind people to improve their quality of life by allowing them to access visual information and travel safely. The process for generating Thai audio image descriptions was developed. The research has developed an image detection system that classifies objects in detected images and generates Thai language descriptions without translation from English. The DEtection TRansformer (DETR) is accurately and quickly applied to detect the objects in the image; after that, the Thai sentences or phrases are composed using the Thai Text Generator with the Thai model of WangchanBERTa datasets. The important features of the image description in this research are the ability to indicate the number of objects of the same kind and to select appropriate noun classifiers. In this developed image detection system, objects within the detected image are automatically divided into different images with classification, and then the number of images in each category is counted. The suitable noun classifier is chosen using the Masked Token Prediction. This system can reclassify using zero-shot learning when more different images are added. This allows for more flexibility in use and saves a significant amount of time in creating an image database. The Thai image description consists of the details, including the type of object, number, and Thai noun classifier of objects in the images; the generated sentence to describe the image; and the predicted photo shoot location. After that, the Thai sentences or phases of captured image description are transformed to be the voice in the Thai language using the VAJA Text-to-Speech Engine integrated image detection system to enable visually impaired and blind people to recognize the details of the image in front. The results showed a good performance of the developed process for generating Thai audio image descriptions. The input image file can be transformed into the image descriptions and the Thai audio descriptions.
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