使用深度学习从图像生成音频字幕

Omprakash Yadav, Atharva Jadhav, Abdul Hannan Sunsara, Idris Vohra
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引用次数: 0

摘要

视障人士由于无法想象自然环境而面临各种各样的困难。为了克服这个问题,所提出的系统将自动为输入图像生成字幕,并将生成的字幕转换为音频格式,以便视障人士可以听到生成的字幕。字幕使用深度学习算法卷积神经网络(CNN)、循环神经网络(RNN)和长短期记忆来执行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AUDIO CAPTION GENERATION FROM IMAGES USING DEEP LEARNING
Visually impaired individuals face various types of difficulties as they cannot visualize the natural environment. To overcome this problem, the proposed system would automatically generate captions for an input images and convert the generated caption to an audio format so that visually impaired individuals can listen to the generated captions. Captioning is performed using Deep Learning algorithm Convolution Neural Network (CNN), Recurrent Neural Network (RNN) and Long Short-Term Memory.
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