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Title: :  "VocPix: Image Captioning using CNN and LSTM"
PaperId: :  19942
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 2 2023
DUI:    16.0415/IJARIIE-19942
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Bhushan Arun AmbhoreSinhgad College Of Engineering, Pune
Linal Anil PatilSinhgad College Of Engineering, Pune
Manasi Shekhar PatilSinhgad College Of Engineering, Pune
Niket Sitaram SharmaSinhgad College Of Engineering, Pune
Hitesh E. ChaudhariSinhgad College Of Engineering, Pune

Abstract

Computer Engineering
Deep learning, CNN, LSTM, Machine learning, Neural Networks, Text-To-Speech
With billions of users on sites like Facebook, Twitter, Instagram, and YouTube, social media has become an essential component of modern life. Social media has fundamentally altered how we communicate, share information, and engage with one another. It has also changed how we both consume and produce material. Therefore, an image caption generator has become essential in today's culture because it is necessary for social media addicts or people who are blind. It is a kind of algorithm or software program that makes use of Deep Learning techniques and analyses an image's visual information before converting it into plain language. It can be used as a plugin on the popular social networking sites of today to suggest appropriate captions for users to include with their postings. The goal of the suggested research is to create an image caption, also known as a description of an image, and to translate it into different languages, using CNN-LSTM architecture. To use the current word as input for the prediction of the following word, CNN layers will help in retrieving input data, and LSTM will extract essential information as it processes input. Python 3 and machine learning will be the programming languages used. This study will go into great detail about the many Neural networks involved, including their structures and functions. The program that converts created captions into spoken words is called a text-to-speech synthesizer, and it uses Natural Language Processing (NLP) to analyze and process the text. The text is subsequently converted into a synthesized speech representation using digital signal processing (DSP) technology. Here, we've created a practical text-to-speech synthesizer in the form of an easy-to-use application that reads aloud generated captions as synthesized speech. The proposed deep learning approach aims at generating the best caption for a particular image by analyzing and extracting various features from images and converting that textual caption into speech using Text-To-Speech (TTS).

Citations

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IJARIIE Bhushan Arun Ambhore, Linal Anil Patil, Manasi Shekhar Patil, Niket Sitaram Sharma, and Hitesh E. Chaudhari. ""VocPix: Image Captioning using CNN and LSTM"" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 2 2023 Page 2873-2880
MLA Bhushan Arun Ambhore, Linal Anil Patil, Manasi Shekhar Patil, Niket Sitaram Sharma, and Hitesh E. Chaudhari. ""VocPix: Image Captioning using CNN and LSTM"." International Journal Of Advance Research And Innovative Ideas In Education 9.2(2023) : 2873-2880.
APA Bhushan Arun Ambhore, Linal Anil Patil, Manasi Shekhar Patil, Niket Sitaram Sharma, & Hitesh E. Chaudhari. (2023). "VocPix: Image Captioning using CNN and LSTM". International Journal Of Advance Research And Innovative Ideas In Education, 9(2), 2873-2880.
Chicago Bhushan Arun Ambhore, Linal Anil Patil, Manasi Shekhar Patil, Niket Sitaram Sharma, and Hitesh E. Chaudhari. ""VocPix: Image Captioning using CNN and LSTM"." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 2 (2023) : 2873-2880.
Oxford Bhushan Arun Ambhore, Linal Anil Patil, Manasi Shekhar Patil, Niket Sitaram Sharma, and Hitesh E. Chaudhari. '"VocPix: Image Captioning using CNN and LSTM"', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 2, 2023, p. 2873-2880. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/_VocPix__Image_Captioning_using_CNN_and_LSTM__ijariie19942.pdf (Accessed : 19 September 2024).
Harvard Bhushan Arun Ambhore, Linal Anil Patil, Manasi Shekhar Patil, Niket Sitaram Sharma, and Hitesh E. Chaudhari. (2023) '"VocPix: Image Captioning using CNN and LSTM"', International Journal Of Advance Research And Innovative Ideas In Education, 9(2), pp. 2873-2880IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/_VocPix__Image_Captioning_using_CNN_and_LSTM__ijariie19942.pdf (Accessed : 19 September 2024)
IEEE Bhushan Arun Ambhore, Linal Anil Patil, Manasi Shekhar Patil, Niket Sitaram Sharma, and Hitesh E. Chaudhari, ""VocPix: Image Captioning using CNN and LSTM"," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 2, pp. 2873-2880, Mar-App 2023. [Online]. Available: http://ijariie.com/AdminUploadPdf/_VocPix__Image_Captioning_using_CNN_and_LSTM__ijariie19942.pdf [Accessed : 19 September 2024].
Turabian Bhushan Arun Ambhore, Linal Anil Patil, Manasi Shekhar Patil, Niket Sitaram Sharma, and Hitesh E. Chaudhari. ""VocPix: Image Captioning using CNN and LSTM"." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 2 (19 September 2024).
Vancouver Bhushan Arun Ambhore, Linal Anil Patil, Manasi Shekhar Patil, Niket Sitaram Sharma, and Hitesh E. Chaudhari. "VocPix: Image Captioning using CNN and LSTM". International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : 19 September 2024]; 9(2) : 2873-2880. Available from: http://ijariie.com/AdminUploadPdf/_VocPix__Image_Captioning_using_CNN_and_LSTM__ijariie19942.pdf
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