Virtual Caricature Assistant using Voice Analysis and GAN

B. Siva Lakshmi; I. Asritha; B. Saideepthi; N. L. Sarvajna; G. Renuka

doi:10.2991/978-94-6463-858-5_4

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Virtual Caricature Assistant using Voice Analysis and GAN

Authors

B. Siva Lakshmi¹^{, *}, I. Asritha¹, B. Saideepthi¹, N. L. Sarvajna¹, G. Renuka¹

¹Department of IT, Vignan’s Institute of Engineering for Women, Visakhapatnam, AP, India

^*Corresponding author. Email: dr.bolemsivalakshmi@gmail.com

Corresponding Author

B. Siva Lakshmi

Available Online 4 November 2025.

DOI: 10.2991/978-94-6463-858-5_4 How to use a DOI?
Keywords: Generative Adversarial Network (GAN); Natural Language Processing (NLP); Speech-To-Text (STT); Feature Extraction
Abstract: This paper proposes an AI-powered system that can generate facial sketches from a witness’s description of a criminal’s traits. Making use of advanced technologies like Natural Language Processing (NLP) and Generative Adversarial Networks (GAN), the model decodes detailed written or spoken inputs and transforms them into a hand-drawn sketch. In addition to improving sketch generation and accuracy, the technology speeds up real-time crime investigation procedure. In order to ensure accurate match with, the model includes interactive elements to edit the sketch. A database cross-reference to increase identification accuracy, emotion recognition, and voice input integration are possible additions to the model. By automating the process of sketch generation, the model may assist law enforcements in quickly generating leads, aiding in criminal investigations, and contributing to more efficient crime resolution.
Copyright: © 2025 The Author(s)
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title: Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
Series: Advances in Computer Science Research
Publication Date: 4 November 2025
ISBN: 978-94-6463-858-5
ISSN: 2352-538X
DOI: 10.2991/978-94-6463-858-5_4 How to use a DOI?
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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ris enw bib

TY  - CONF
AU  - B. Siva Lakshmi
AU  - I. Asritha
AU  - B. Saideepthi
AU  - N. L. Sarvajna
AU  - G. Renuka
PY  - 2025
DA  - 2025/11/04
TI  - Virtual Caricature Assistant using Voice Analysis and GAN
BT  - Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
PB  - Atlantis Press
SP  - 30
EP  - 40
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-858-5_4
DO  - 10.2991/978-94-6463-858-5_4
ID  - Lakshmi2025
ER  -

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