Fun Soundify: Music Generation powered by AI
Fun Soundify embodies an exciting exploration at the intersection of artificial intelligence and artistic ingenuity, marking a bold step forward in the realm of music composition. Inspired by pioneering research in neural network-based music generation, our endeavor is to push the boundaries of creativity within the musical domain. Exploring advanced deep learning models, including Recurrent Neural Networks (RNNs), Long Short-Term Memory networks (LSTMs), and attention mechanisms, our objective is to revolutionize music creation and appreciation. Drawing from insights gleaned from the original study, we have adapted and expanded upon these findings to construct an innovative AI-driven platform. Our mission is centered around unraveling the complexities of musical language and structure, with a particular emphasis on generating melodies infused with human-like creativity and emotion. Leveraging a diverse dataset and state-of-the-art machine learning techniques, our aspiration is to compose melodies that not only captivate but also inspire. Fun Soundify's AI-Powered Melodies Generation project serves as a testament to the limitless possibilities that machine learning offers in the realm of artistic innovation. Beyond merely crafting captivating melodies, our vision extends to fostering collaborative creation between humans and machines.
Authors
- Shubhangi Suryawanshi
- Vanita G. Kshirsagar (ORCID: https://orcid.org/0000-0002-2473-7125)
- A. J. Pawar (ORCID: https://orcid.org/0000-0003-4902-2182)
- Prashant Ahire (ORCID: https://orcid.org/0000-0002-8101-7087)
- Rahul Patil (ORCID: https://orcid.org/0009-0009-3718-0600)
- Yadvendra Wagh
- Nikhil Kolhe
- Dakshata Pawar
- Manisha Mane
Institutions
- Information Technology Institute (EG)
- Symbiosis International University (IN)
Publication Details
- Published
- 2024-08-23
- DOI
- https://doi.org/10.1109/iccubea61740.2024.10774982
- Citations
- 3
- Primary Topic
- Music Technology and Sound Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.75