Audiobooks that converts Text, Image, PDF-Audio &amp; Speech-Text : for physically challenged &amp; improving fluency

Sri, Kurra Santhi; Mounika, Chennupati; Yamini, Kolluru

doi:10.1109/icict54344.2022.9850872

2022 International Conference on Inventive Computation Technologies (ICICT) 2022

DOI: 10.1109/icict54344.2022.9850872

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Audiobooks that converts Text, Image, PDF-Audio & Speech-Text : for physically challenged & improving fluency

Kurra Santhi Sri

Chennupati Mounika

Kolluru Yamini

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2024

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Recent Advances in Synthesis and Interaction of Speech, Text, and Vision

Orynbay,

Razakhova,

Peer

et al. 2024

Electronics

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In recent years, there has been increasing interest in the conversion of images into audio descriptions. This is a field that lies at the intersection of Computer Vision (CV) and Natural Language Processing (NLP), and it involves various tasks, including creating textual descriptions of images and converting them directly into auditory representations. Another aspect of this field is the synthesis of natural speech from text. This has significant potential to improve accessibility, user experience, and the applications of Artificial Intelligence (AI). In this article, we reviewed a wide range of image-to-audio conversion techniques. Various aspects of image captioning, speech synthesis, and direct image-to-speech conversion have been explored, from fundamental encoder–decoder architectures to more advanced methods such as transformers and adversarial learning. Although the focus of this review is on synthesizing audio descriptions from visual data, the reverse task of creating visual content from natural language descriptions is also covered. This study provides a comprehensive overview of the techniques and methodologies used in these fields and highlights the strengths and weaknesses of each approach. The study emphasizes the importance of various datasets, such as MS COCO, LibriTTS, and VizWiz Captions, which play a critical role in training models, evaluating them, promoting inclusivity, and solving real-world problems. The implications for the future suggest the potential of generating more natural and contextualized audio descriptions, whereas direct image-to-speech tasks provide opportunities for intuitive auditory representations of visual content.

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Recent Advances in Synthesis and Interaction of Speech, Text, and Vision

Orynbay,

Razakhova,

Peer

et al. 2024

Electronics

View full text Add to dashboard Cite

show abstract

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Audiobooks that converts Text, Image, PDF-Audio & Speech-Text : for physically challenged & improving fluency

Cited by 1 publication

References 1 publication

Recent Advances in Synthesis and Interaction of Speech, Text, and Vision

Recent Advances in Synthesis and Interaction of Speech, Text, and Vision

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