Art Generation of Konkani Music Using AI

DOI

10.2991/978-94-6463-716-8_44How to use a DOI?

Keywords

Generative Adversarial Network (GAN); Natural Language processing (NLP); CNN Convolutional Neural Networks (CNN); Large Language Models (LLM); Recurrent Neural Networks (RNN)

Abstract

Art and music, two dateless forms of expression, have been deeply intertwined in mortal culture. Our design seeks to combine these two art forms using Generative Adversarial Networks (GANs) and Natural Language Processing (NLP) to produce artwork that visually encapsulates the overall sense and meaning of Konkani conversational music. While being results like AIVA (Artificial Intelligence Virtual Artist) or models that induce art from music or textbook give innovative approaches, none focus specifically on indigenous languages like Konkani to induce culturally applicable art. The design addresses the lack of real-world operations in AI by creating an accessible platform to show Konkani poetry and music, therefore contributing to the preservation and recognition of the language. Likewise, being AI models frequently fail to interpret artistic and emotional surrounds, which are vital for generating meaningful labors in low-resource languages. To overcome this, we incorporate sentiment analysis and thematic birth to enhance the environment-mindfulness of our models, ensuring that the generated art aligns with the emotional tone and artistic nuances of the music. The design unfolds in two stages. The first stage involves rephrasing the lyrics of a song into English, while the alternate stage focuses on framing the restated lyrics into meaningful rulings, assaying their sentiment, and generating the corresponding artwork. By spotlighting Konkani conversational music, we aim to give a platform for its recognition in a distinctive and engaging manner, fostering artistic heritage through technology.

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.

Download article (PDF)

TY  - CONF
AU  - K. M. Chaman Kumar
AU  - M. Abhishek
AU  - Shital Sidram Rajput
AU  - Anup Arjun Bhonsle
AU  - Ashwin Krishna Sutar
PY  - 2025
DA  - 2025/05/26
TI  - Art Generation of Konkani Music Using AI
BT  - Proceedings of the International Conference on Recent Advancements and Modernisations in Sustainable Intelligent Technologies and Applications (RAMSITA 2025)
PB  - Atlantis Press
SP  - 570
EP  - 582
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-716-8_44
DO  - 10.2991/978-94-6463-716-8_44
ID  - Kumar2025
ER  -