Swar : A Decentralized Approach to Music Streaming with Blockchain and Machine Learning
Swar is a decentralized music platform, using blockchain and machine learning to change music industry fundamentals, where artists and users will reap the most benefits. Unlike other platforms, Swar offers transparent royalty payment system which is based on streaming data and has dynamic adjustments, thus, contributors are assured of fair remunerations. Through its DApp solution, Swar provides the artists with an opportunity to upload songs, get the allocated royalties using smart contracts, and store the content in the IPFS securely. ML-Model of the platform forecasts streaming numbers and notify artists about NFT creation with regard to the expected popularity and distributes royalties that helps artists make decisions on their work with confidence . On the top of that Swar comes up with Timebound NFTs, that empowers artists to provide special content and experiences to the fans which can be sold on the dedicated marketplace. Intuitive personalized song recommendation system also offers user tailored suggestions including the songs they like the most. Swar aspires to have a music ecosystem which is seen as transparent, fair and engaging to both artists and listeners.
Authors
- Geetha Dayalan (ORCID: https://orcid.org/0000-0001-5101-4582)
- Smriti Raj
- Suvarna Nandyal
- Soumya Shetty (ORCID: https://orcid.org/0000-0002-7556-8579)
- L. G. Nagaveni
Institutions
- PES University (IN)
Publication Details
- Published
- 2024-10-04
- DOI
- https://doi.org/10.1109/gcat62922.2024.10923886
- Primary Topic
- Music and Audio Processing
- Type
- article
- Field-Weighted Citation Impact
- 0.00