Notable developments in Artificial Intelligence-based music production have brought about a transformation in the field of musical composition. The aim of this article is to give a summary of the different models and techniques used in AI-driven music production. It explores the need for these developments, highlighting the shortcomings of traditional music production methods, which often call for a significant investment of time and expertise and presenting Artificial Intelligence (AI) as a revolutionary solution to these challenges. Several models are examined in the review, including Transformer Architecture, Long Short-Term Memory (LSTM), Generative Adversarial Network (GAN) and many more. This study aims to give a comprehensive overview of Music generating techniques and their potential to improve the efficiency, accessibility, and collaborative nature of music creation within the musical environment.
No takes yet. Share an insight, caveat, or question.
Pathariya et al. (2024) studied this question.
Synapse has enriched 4 closely related papers on similar clinical questions. Consider them for comparative context: