Music NFT marketplace: Leveraging blockchain technology.

Lack of transparency and limited access to music for listeners have affected the entire music industry. Since the old music distribution paradigm is extremely centralized and controlled by a limited number of large companies, making new and innovative music production next to impossible. In this paper, we suggest a solution that combines blockchain technology and artificial intelligence to establish a more transparent and egalitarian music industry. Our strategy is the creation of a music NFT marketplace that will employ smart contracts to automate royalty payments to artists while also allowing fans to own a unique piece of music history. Moreover, we employ LSTM-based AI models to create music that can be minted as NFTs and sold on the market. To construct realistic audio waveforms that preserve long-term dependencies in the data, we employ a stack of dilated causal convolutional layers. We assess our model's performance using numerous criteria such as originality, variety, and coherence. The blockchain aspect of the project involves using Ethereum and a range of other tools and services to ensure the secure and efficient trading of music NFTs on the marketplace. The proposed project was able to achieve the desired results using a stack of dilated casual convolutional layers and LSTM layers as compared to other algorithms. [ABSTRACT FROM AUTHOR]