Investigating MIDI data simplification by AI models

Abstract

According to the Smithsonian Institution, the art of making music has existed for over 35,000 years. As musical technology has improved, the music of the time has also improved and adapted to the new technology. In the recent expansion of technology from generative AI, text and image generation have become not only possible but also competitive with human-created text and images. As such, the development of AI-generated music is increasingly sparking considerable interest among musicians and developers alike, raising questions about the potential of AI to enhance or even replace human musical creativity. This paper will first explore the advancements of AI-generated music. Next, it will delve into the technologies and methodologies involved in generating music, as well as its current limitations using a basic LSTM (Long Short-Term Memory) model. Finally, it will explore the implications of this music for the whole music industry. By examining these various facets of AI-generated music, this research provides insights into AI's potential role in shaping the future of music. According to the analysis, a rudimentary AI model trained on complex music can produce music that is fairly elementary. Overall, these results shed light on guiding further exploration of the interaction between artificial intelligence and music.