SPEECH TO IMAGE TRANSLATION

Registration ID: IJNRD_208085

Published ID: IJNRD2312023

DOI: http://doi.one/10.1729/Journal.37051

VIKAS YADAV , TUSHAR SRIVASTAVA

Speech-to-image translation, cross-modal generation, generative adversarial network, teacher-student learning.

Today we often see people speak and the computer/mobile types the words exactly as spoken by the operator. This direct speech- to- text conversion has led to a curiosity to develop a method or program through which we could directly convert our speech to an image. If we could convert any speech to image directly then it would pave a path due to the vast potential applications it would have in man- machine interaction, art creation, computer- aided design, etc. The generation of realistic images from text automatically is an intriguing and valuable concept, but current AI systems have not yet achieved this objective. Nevertheless, for learning discriminatory text feature representations, recent years have seen the development of general and strong recurrent neural network designs. Deep GANs lead to generate the images related to certain kinds, like faces, folder covers, etc. The goal of this work is that these developments in text and image modeling must be associated by converting graphic notions from characters to pixels using an original deep structure and GAN formulation. The potential of our model is proved by creating realistic pictures of birds and flowers from thorough text descriptions.

Published Paper   E-Certificate

VIKAS YADAV & TUSHAR SRIVASTAVA (November-2023). SPEECH TO IMAGE TRANSLATION. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(11), a157-a170. http://doi.one/10.1729/Journal.37051

Volume 8 Issue 11, November-2023

Pages : a157-a170

Paper Reg. ID: IJNRD_208085

Published Paper Id: IJNRD2312023

Downloads: 000121987

Research Area: Electronics & Communication Engg. 

Country: RAEBARELI, UTTAR PRADESH, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2312023.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2312023

Crossref DOI: http://doi.one/10.1729/Journal.37051

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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